subject:(Automatic tracking)

University of Hong Kong

1. Zhang, Li. Scalable real-time multi-target tracking and its implementation on DSP.

Degree: M. Phil., 2015, University of Hong Kong

URL: Zhang, L. [張力 ]. (2015). Scalable real-time multi-target tracking and its implementation on DSP. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5479334 ; http://hdl.handle.net/10722/212627

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While various online multi-target tracking methods have been proposed recently, most of their runtime speed struggle at 1-10 frames per second for moderate crowded scenes.… (more)

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While various online multi-target tracking methods have been proposed recently, most of their runtime speed struggle at 1-10 frames per second for moderate crowded scenes. In this thesis, we present a novel real-time multi-target tracking system based on the tracking-by-detection framework. Our system is designed for tracking a variable number of interacting targets from a single, static, above shoulder camera, which is a general setting for video surveillance. One challenge in our approach is that when background subtraction is used for detecting moving targets, merged measurements occur frequently because of target interactions. To cope with the problem, we propose to use correlation filter based object detector to robustly separate the targets in merged measurements. Then, online object tracking assisted data association is used to solve the track-measurement assignment. To reduce computation load, our object tracking algorithm is assisted by correlations filter based trackers which share the same features used by our object detector. In addition, to recover partially occluded targets, we allow unconfident detections to be assigned to tracks whilst care is taken to avoid introducing additional false positives. We also analyze the online approximation to multi-channel correlation filters. Our experiments show that exact solution is more resistant to noisy channels than approximate solution. Evaluation on generally accepted datasets reveals that the proposed system is comparable to state-of-the-art methods in terms of performance while running several magnitudes faster. Additionally, we show that the proposed system can be readily implemented on the Texas Instruments TMS320C6678 DSP (C6678) without significant degradation in speed or performance. Details on efficient implementation of the system is also discussed. Especially, for computing Histogram of Oriented Gradients (HOG) feature, our optimized implementation runs at 60fps on VGA images on a single core of C6678, which is 10 times faster than a directly ported implementation.

published_or_final_version

Computer Science

Master

Master of Philosophy

Subjects/Keywords: Automatic tracking

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APA (6^th Edition):

Zhang, L. (2015). Scalable real-time multi-target tracking and its implementation on DSP. (Masters Thesis). University of Hong Kong. Retrieved from Zhang, L. [張力 ]. (2015). Scalable real-time multi-target tracking and its implementation on DSP. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5479334 ; http://hdl.handle.net/10722/212627

Chicago Manual of Style (16^th Edition):

Zhang, Li. “Scalable real-time multi-target tracking and its implementation on DSP.” 2015. Masters Thesis, University of Hong Kong. Accessed August 20, 2019. Zhang, L. [張力 ]. (2015). Scalable real-time multi-target tracking and its implementation on DSP. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5479334 ; http://hdl.handle.net/10722/212627.

MLA Handbook (7^th Edition):

Zhang, Li. “Scalable real-time multi-target tracking and its implementation on DSP.” 2015. Web. 20 Aug 2019.

Vancouver:

Zhang L. Scalable real-time multi-target tracking and its implementation on DSP. [Internet] [Masters thesis]. University of Hong Kong; 2015. [cited 2019 Aug 20]. Available from: Zhang, L. [張力 ]. (2015). Scalable real-time multi-target tracking and its implementation on DSP. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5479334 ; http://hdl.handle.net/10722/212627.

Council of Science Editors:

Zhang L. Scalable real-time multi-target tracking and its implementation on DSP. [Masters Thesis]. University of Hong Kong; 2015. Available from: Zhang, L. [張力 ]. (2015). Scalable real-time multi-target tracking and its implementation on DSP. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5479334 ; http://hdl.handle.net/10722/212627

Hong Kong University of Science and Technology

2. Zhang, Ying. Accurate indoor tracking in WLANs with reduced calibration effort.

Degree: 2012, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1207859 ; http://repository.ust.hk/ir/bitstream/1783.1-7813/1/th_redirect.html

► Indoor localization and tracking have received considerable attention in recent years. They serve as an enabling technology that makes numerous context-aware services and applications such… (more)

Subjects/Keywords: Automatic tracking; Wireless LANs

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APA (6^th Edition):

Zhang, Y. (2012). Accurate indoor tracking in WLANs with reduced calibration effort. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1207859 ; http://repository.ust.hk/ir/bitstream/1783.1-7813/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zhang, Ying. “Accurate indoor tracking in WLANs with reduced calibration effort.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed August 20, 2019. https://doi.org/10.14711/thesis-b1207859 ; http://repository.ust.hk/ir/bitstream/1783.1-7813/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zhang, Ying. “Accurate indoor tracking in WLANs with reduced calibration effort.” 2012. Web. 20 Aug 2019.

Vancouver:

Zhang Y. Accurate indoor tracking in WLANs with reduced calibration effort. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2019 Aug 20]. Available from: https://doi.org/10.14711/thesis-b1207859 ; http://repository.ust.hk/ir/bitstream/1783.1-7813/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang Y. Accurate indoor tracking in WLANs with reduced calibration effort. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: https://doi.org/10.14711/thesis-b1207859 ; http://repository.ust.hk/ir/bitstream/1783.1-7813/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

3. Luo, Tao. Human visual tracking in surveillance video.

Degree: PhD, 2014, University of Hong Kong

URL: Luo, T. [羅濤]. (2014). Human visual tracking in surveillance video. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5328035 ; http://dx.doi.org/10.5353/th_b5328035 ; http://hdl.handle.net/10722/206727

►

Visual surveillance in dynamic scenes, especially for human activities, is one of the current challenging research topics in computer vision. It is a key technology… (more)

Subjects/Keywords: Automatic tracking; Video surveillance

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APA (6^th Edition):

Luo, T. (2014). Human visual tracking in surveillance video. (Doctoral Dissertation). University of Hong Kong. Retrieved from Luo, T. [羅濤]. (2014). Human visual tracking in surveillance video. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5328035 ; http://dx.doi.org/10.5353/th_b5328035 ; http://hdl.handle.net/10722/206727

Chicago Manual of Style (16^th Edition):

Luo, Tao. “Human visual tracking in surveillance video.” 2014. Doctoral Dissertation, University of Hong Kong. Accessed August 20, 2019. Luo, T. [羅濤]. (2014). Human visual tracking in surveillance video. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5328035 ; http://dx.doi.org/10.5353/th_b5328035 ; http://hdl.handle.net/10722/206727.

MLA Handbook (7^th Edition):

Luo, Tao. “Human visual tracking in surveillance video.” 2014. Web. 20 Aug 2019.

Vancouver:

Luo T. Human visual tracking in surveillance video. [Internet] [Doctoral dissertation]. University of Hong Kong; 2014. [cited 2019 Aug 20]. Available from: Luo, T. [羅濤]. (2014). Human visual tracking in surveillance video. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5328035 ; http://dx.doi.org/10.5353/th_b5328035 ; http://hdl.handle.net/10722/206727.

Council of Science Editors:

Luo T. Human visual tracking in surveillance video. [Doctoral Dissertation]. University of Hong Kong; 2014. Available from: Luo, T. [羅濤]. (2014). Human visual tracking in surveillance video. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5328035 ; http://dx.doi.org/10.5353/th_b5328035 ; http://hdl.handle.net/10722/206727

University of Hong Kong

4. Liu, Chongyang. A distinct region based method for visual object tracking.

Degree: PhD, 2011, University of Hong Kong

URL: Liu, C. [刘重阳]. (2011). A distinct region based method for visual object tracking. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4658711 ; http://dx.doi.org/10.5353/th_b4658711 ; http://hdl.handle.net/10722/143210

published_or_final_version

Electrical and Electronic Engineering

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Yung, NHC.

Subjects/Keywords: Intelligent transportation systems.; Automatic tracking.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Liu, C. (2011). A distinct region based method for visual object tracking. (Doctoral Dissertation). University of Hong Kong. Retrieved from Liu, C. [刘重阳]. (2011). A distinct region based method for visual object tracking. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4658711 ; http://dx.doi.org/10.5353/th_b4658711 ; http://hdl.handle.net/10722/143210

Chicago Manual of Style (16^th Edition):

Liu, Chongyang. “A distinct region based method for visual object tracking.” 2011. Doctoral Dissertation, University of Hong Kong. Accessed August 20, 2019. Liu, C. [刘重阳]. (2011). A distinct region based method for visual object tracking. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4658711 ; http://dx.doi.org/10.5353/th_b4658711 ; http://hdl.handle.net/10722/143210.

MLA Handbook (7^th Edition):

Liu, Chongyang. “A distinct region based method for visual object tracking.” 2011. Web. 20 Aug 2019.

Vancouver:

Liu C. A distinct region based method for visual object tracking. [Internet] [Doctoral dissertation]. University of Hong Kong; 2011. [cited 2019 Aug 20]. Available from: Liu, C. [刘重阳]. (2011). A distinct region based method for visual object tracking. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4658711 ; http://dx.doi.org/10.5353/th_b4658711 ; http://hdl.handle.net/10722/143210.

Council of Science Editors:

Liu C. A distinct region based method for visual object tracking. [Doctoral Dissertation]. University of Hong Kong; 2011. Available from: Liu, C. [刘重阳]. (2011). A distinct region based method for visual object tracking. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4658711 ; http://dx.doi.org/10.5353/th_b4658711 ; http://hdl.handle.net/10722/143210

University of Hong Kong

5. Wang, Lu. Three-dimensional model based human detection and tracking in crowded scenes.

Degree: PhD, 2011, University of Hong Kong

URL: Wang, L. [王璐]. (2011). Three-dimensional model based human detection and tracking in crowded scenes. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4658742 ; http://dx.doi.org/10.5353/th_b4658742 ; http://hdl.handle.net/10722/143212

published_or_final_version

Electrical and Electronic Engineering

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Yung, NHC.

Subjects/Keywords: Automatic tracking.; Three-dimensional imaging.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wang, L. (2011). Three-dimensional model based human detection and tracking in crowded scenes. (Doctoral Dissertation). University of Hong Kong. Retrieved from Wang, L. [王璐]. (2011). Three-dimensional model based human detection and tracking in crowded scenes. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4658742 ; http://dx.doi.org/10.5353/th_b4658742 ; http://hdl.handle.net/10722/143212

Chicago Manual of Style (16^th Edition):

Wang, Lu. “Three-dimensional model based human detection and tracking in crowded scenes.” 2011. Doctoral Dissertation, University of Hong Kong. Accessed August 20, 2019. Wang, L. [王璐]. (2011). Three-dimensional model based human detection and tracking in crowded scenes. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4658742 ; http://dx.doi.org/10.5353/th_b4658742 ; http://hdl.handle.net/10722/143212.

MLA Handbook (7^th Edition):

Wang, Lu. “Three-dimensional model based human detection and tracking in crowded scenes.” 2011. Web. 20 Aug 2019.

Vancouver:

Wang L. Three-dimensional model based human detection and tracking in crowded scenes. [Internet] [Doctoral dissertation]. University of Hong Kong; 2011. [cited 2019 Aug 20]. Available from: Wang, L. [王璐]. (2011). Three-dimensional model based human detection and tracking in crowded scenes. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4658742 ; http://dx.doi.org/10.5353/th_b4658742 ; http://hdl.handle.net/10722/143212.

Council of Science Editors:

Wang L. Three-dimensional model based human detection and tracking in crowded scenes. [Doctoral Dissertation]. University of Hong Kong; 2011. Available from: Wang, L. [王璐]. (2011). Three-dimensional model based human detection and tracking in crowded scenes. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4658742 ; http://dx.doi.org/10.5353/th_b4658742 ; http://hdl.handle.net/10722/143212

University of Oklahoma

6. Pham, Phuong Le. Target Tracking Using Wireless Sensor Networks.

Degree: PhD, 2012, University of Oklahoma

URL: http://hdl.handle.net/11244/318639

► It will be shown by mathematical proofs and numerical simulation in this dissertation that distributed detection and tracking using a limited number of nodes can… (more)

Subjects/Keywords: Wireless sensor networks; Automatic tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Pham, P. L. (2012). Target Tracking Using Wireless Sensor Networks. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318639

Chicago Manual of Style (16^th Edition):

Pham, Phuong Le. “Target Tracking Using Wireless Sensor Networks.” 2012. Doctoral Dissertation, University of Oklahoma. Accessed August 20, 2019. http://hdl.handle.net/11244/318639.

MLA Handbook (7^th Edition):

Pham, Phuong Le. “Target Tracking Using Wireless Sensor Networks.” 2012. Web. 20 Aug 2019.

Vancouver:

Pham PL. Target Tracking Using Wireless Sensor Networks. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/11244/318639.

Council of Science Editors:

Pham PL. Target Tracking Using Wireless Sensor Networks. [Doctoral Dissertation]. University of Oklahoma; 2012. Available from: http://hdl.handle.net/11244/318639

Hong Kong University of Science and Technology

7. Cai, Shengnan. Real-time object tracking with auxiliary models.

Degree: 2015, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1487520 ; http://repository.ust.hk/ir/bitstream/1783.1-74986/1/th_redirect.html

► Achieving efficient and effective tracking remains a challenging task resorting from factors such as partial occlusion, background clutter, pose or illumination changes. Even though a… (more)

▼ Achieving efficient and effective tracking remains a challenging task resorting from factors such as partial occlusion, background clutter, pose or illumination changes. Even though a tracker could follow basic procedures of tracking-by-detection to implement general object tracking, most state-of-the-art algorithms incorporate additional or sophisticated processing such as using auxiliary models so as to solve the challenges. This thesis presents novel methods on real-time general object tracking with auxiliary models. We study the feature selection along with the appearance model and motion model in video tracking algorithms. The categorization is yielded based on real applications utilizing features and models. In visual tracking, we propose two auxiliary models. One method utilizes generalized part-based appearance model and structure-constrained motion model as auxiliary. The appearance of the target object is modeled by the proposed generalized part-based appearance model, adaptively updated by an efficient structure learning scheme. In addition, we enhance the performance of our tracker by using a motion model, which employs a structure-constrained rule, that is, the change on the structure of the target object between consecutive frames is small. Another tracking method leverages layered detection that combines detection on two independent layers in a unified tracking-by-detection framework, one layer on the global level and the other on patch. According to the representation of the user-specified object of interest, the global level could distinguish the object against the background effectively, whereas the patch level is able to sample the patches of interest in the bounding box representation. Besides describing our own tracking methods, we compare diverse tracking algorithms in the literature using a public benchmark. During visual tracking, feature selection plays an important role. SIFT, SURF, HOG are commonly used. In this thesis, we study the problem of tracking man-made objects along the video sequence, and present a novel affine-invariant feature, Low-rank SIFT, which exploits the regular appearance property in man-made objects and achieves full affine invariance without needing to simulate over the affine parameter space. Our method seeks to leverage the low-rank prior to estimate the affine parameters for local patches directly and we propose a fast algorithm to compute parameters by introducing the Low-rank Integral Map. By automatically rectify the local patches to the low-rank forms, and perform conventional SIFT to solve rotation, translation and scaling ambiguity, our approach is able to perform feature selection in tracking with higher accuracy. With promising experimental results and observable qualitative improvement, the ideas of auxiliary models and affine-invariant features are blossoming. Further exploration on tracking will be conducted with more sophisticated models and more efficient calculating algorithms.

Subjects/Keywords: Automatic tracking; Mathematical models; Motion detectors

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Cai, S. (2015). Real-time object tracking with auxiliary models. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1487520 ; http://repository.ust.hk/ir/bitstream/1783.1-74986/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Cai, Shengnan. “Real-time object tracking with auxiliary models.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed August 20, 2019. https://doi.org/10.14711/thesis-b1487520 ; http://repository.ust.hk/ir/bitstream/1783.1-74986/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Cai, Shengnan. “Real-time object tracking with auxiliary models.” 2015. Web. 20 Aug 2019.

Vancouver:

Cai S. Real-time object tracking with auxiliary models. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2019 Aug 20]. Available from: https://doi.org/10.14711/thesis-b1487520 ; http://repository.ust.hk/ir/bitstream/1783.1-74986/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cai S. Real-time object tracking with auxiliary models. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: https://doi.org/10.14711/thesis-b1487520 ; http://repository.ust.hk/ir/bitstream/1783.1-74986/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

8. 侯亚丽; Hou, Yali. Video-based people counting and crowd segmentation.

Degree: PhD, 2011, University of Hong Kong

URL: Hou, Y. [侯亚丽]. (2011). Video-based people counting and crowd segmentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4703233 ; http://dx.doi.org/10.5353/th_b4703233 ; http://hdl.handle.net/10722/177196

published_or_final_version

Electrical and Electronic Engineering

Doctoral

Doctor of Philosophy

Subjects/Keywords: Automatic tracking.; Computer vision.; Electronic surveillance.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

侯亚丽; Hou, Y. (2011). Video-based people counting and crowd segmentation. (Doctoral Dissertation). University of Hong Kong. Retrieved from Hou, Y. [侯亚丽]. (2011). Video-based people counting and crowd segmentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4703233 ; http://dx.doi.org/10.5353/th_b4703233 ; http://hdl.handle.net/10722/177196

Chicago Manual of Style (16^th Edition):

侯亚丽; Hou, Yali. “Video-based people counting and crowd segmentation.” 2011. Doctoral Dissertation, University of Hong Kong. Accessed August 20, 2019. Hou, Y. [侯亚丽]. (2011). Video-based people counting and crowd segmentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4703233 ; http://dx.doi.org/10.5353/th_b4703233 ; http://hdl.handle.net/10722/177196.

MLA Handbook (7^th Edition):

侯亚丽; Hou, Yali. “Video-based people counting and crowd segmentation.” 2011. Web. 20 Aug 2019.

Vancouver:

侯亚丽; Hou Y. Video-based people counting and crowd segmentation. [Internet] [Doctoral dissertation]. University of Hong Kong; 2011. [cited 2019 Aug 20]. Available from: Hou, Y. [侯亚丽]. (2011). Video-based people counting and crowd segmentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4703233 ; http://dx.doi.org/10.5353/th_b4703233 ; http://hdl.handle.net/10722/177196.

Council of Science Editors:

侯亚丽; Hou Y. Video-based people counting and crowd segmentation. [Doctoral Dissertation]. University of Hong Kong; 2011. Available from: Hou, Y. [侯亚丽]. (2011). Video-based people counting and crowd segmentation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4703233 ; http://dx.doi.org/10.5353/th_b4703233 ; http://hdl.handle.net/10722/177196

University of Hong Kong

9. Zhang, Shuai. Novel techniques for visual object tracking and depth-aware video processing.

Degree: PhD, 2015, University of Hong Kong

URL: Zhang, S. [張帥]. (2015). Novel techniques for visual object tracking and depth-aware video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5576785 ; http://hdl.handle.net/10722/221087

► Visual object tracking is frequently employed in applications, such as intelligent video surveillance, human body tracking, and many other related problems. Therefore, it is a… (more)

▼ Visual object tracking is frequently employed in applications, such as intelligent video surveillance, human body tracking, and many other related problems. Therefore, it is a fundamental problem in video processing and computer vision. The general procedure of automatic object tracking consists of object detection, object representation, tracking strategy and model updating. Tracking strategy, in particular, is an important component because it performs prediction and inference of useful object information such as object location, object orientation and object size, from one frame to another. In this dissertation, a new visual object tracking algorithm using a novel Bayesian Kalman filter (BKF) with simplified Gaussian mixture (BKF-SGM) tracking strategy is proposed. The new BKF-SGM employs a GM representation of the state and noise densities and a novel direct density simplifying algorithm for avoiding the exponential complexity growth of conventional Kalman filters using GM. As the GM is simplified directly without resampling using particles, the proposed BKF-SGM considerably reduces the exponential arithmetic complexity and avoids performance degradation due to sampling degeneracy and impoverishment in conventional particle filtering (PF). When coupled with an improved mean shift (MS) algorithm, the original MS tracker is extended under the BKF-SGM framework above to a bank of parallel MS trackers, which offer a more robust tracking performance. The resultant algorithm, which is called the BKF-SGM with improved MS (BKF-SGM-IMS), is inherently parallel in nature and hence can be readily accelerated using Graphics Processing Unit (GPU) to meet the high computational requirement in real-time applications. The proposed BKF-SGM-IMS algorithm can successfully handle complex scenarios with good performance and low arithmetic complexity. Moreover, the performance of both non-training/training-based object recognition algorithms can be improved by using our tracking results as input. As depth information make machine vision one step closer to human vision by combining color and depth information, there is a recent interest in depth-aware video processing and computer vision both in the academic and industrial fields. However, high quality and high resolution depth map acquisition for real world scene is a challenging problem. Conventional depth acquisition algorithms which rely on stereo/multi-view vision (passive method) or depth sensing device (active method) alone are limited by complicated scenes or imperfections of the depth sensing devices. In this dissertation, a new system for indoor high resolution and high quality depth estimation using joint fusion of stereo and depth sensing data is proposed. By modeling the observations using Markov random field (MRF), the fusion problem is formulated as a maximum a posteriori probability (MAP) estimation problem. The reliability and the probability density functions for describing the observations from the two devices are also derived. The MAP problem is solved using a…

Subjects/Keywords: Image processing - Digital techniques; Automatic tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhang, S. (2015). Novel techniques for visual object tracking and depth-aware video processing. (Doctoral Dissertation). University of Hong Kong. Retrieved from Zhang, S. [張帥]. (2015). Novel techniques for visual object tracking and depth-aware video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5576785 ; http://hdl.handle.net/10722/221087

Chicago Manual of Style (16^th Edition):

Zhang, Shuai. “Novel techniques for visual object tracking and depth-aware video processing.” 2015. Doctoral Dissertation, University of Hong Kong. Accessed August 20, 2019. Zhang, S. [張帥]. (2015). Novel techniques for visual object tracking and depth-aware video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5576785 ; http://hdl.handle.net/10722/221087.

MLA Handbook (7^th Edition):

Zhang, Shuai. “Novel techniques for visual object tracking and depth-aware video processing.” 2015. Web. 20 Aug 2019.

Vancouver:

Zhang S. Novel techniques for visual object tracking and depth-aware video processing. [Internet] [Doctoral dissertation]. University of Hong Kong; 2015. [cited 2019 Aug 20]. Available from: Zhang, S. [張帥]. (2015). Novel techniques for visual object tracking and depth-aware video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5576785 ; http://hdl.handle.net/10722/221087.

Council of Science Editors:

Zhang S. Novel techniques for visual object tracking and depth-aware video processing. [Doctoral Dissertation]. University of Hong Kong; 2015. Available from: Zhang, S. [張帥]. (2015). Novel techniques for visual object tracking and depth-aware video processing. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5576785 ; http://hdl.handle.net/10722/221087

10. Johansson, Hugo. GPS assisted stabilization and tracking for a camera system.

Degree: Faculty of Science & Engineering, 2017, Linköping UniversityLinköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133682

► Today in most vehicles in battle, a camera system is used to manually lock a target and maintaining visual of the target as the… (more)

Subjects/Keywords: Semi-automatic tracking; Kalman filter; Automation control

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Johansson, H. (2017). GPS assisted stabilization and tracking for a camera system. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133682

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Johansson, Hugo. “GPS assisted stabilization and tracking for a camera system.” 2017. Thesis, Linköping UniversityLinköping University. Accessed August 20, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133682.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Johansson, Hugo. “GPS assisted stabilization and tracking for a camera system.” 2017. Web. 20 Aug 2019.

Vancouver:

Johansson H. GPS assisted stabilization and tracking for a camera system. [Internet] [Thesis]. Linköping UniversityLinköping University; 2017. [cited 2019 Aug 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133682.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Johansson H. GPS assisted stabilization and tracking for a camera system. [Thesis]. Linköping UniversityLinköping University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133682

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Keaikitse, Advice Seiphemo. Long-term tracking of multiple interacting pedestrians using a single camera.

Degree: MSc, Mathematical Sciences, 2014, Stellenbosch University

URL: http://hdl.handle.net/10019.1/86632

►

ENGLISH ABSTRACT: Object detection and tracking are important components of many computer vision applications including automated surveillance. Automated surveillance attempts to solve the challenges associated… (more)

▼

ENGLISH ABSTRACT: Object detection and tracking are important components of many computer vision applications including automated surveillance. Automated surveillance attempts to solve the challenges associated with closed-circuit camera systems. These include monitoring large numbers of cameras and the associated labour costs, and issues related to targeted surveillance. Object detection is an important step of a surveillance system and must overcome challenges such as changes in object appearance and illumination, dynamic background objects like ickering screens, and shadows. Our system uses Gaussian mixture models, which is a background subtraction method, to detect moving objects. Tracking is challenging because measurements from the object detection stage are not labelled and could be from false targets. We use multiple hypothesis tracking to solve this measurement origin problem. Practical long-term tracking of objects should have re-identi cation capabilities to deal with challenges arising from tracking failure and occlusions. In our system each tracked object is assigned a one-class support vector machine (OCSVM) which learns the appearance of that object. The OCSVM is trained online using HSV colour features. Therefore, objects that were occluded or left the scene can be reidenti ed and their tracks extended. Standard, publicly available data sets are used for testing. The performance of the system is measured against ground truth using the Jaccard similarity index, the track length and the normalized mean square error. We nd that the system performs well.

AFRIKAANSE OPSOMMING: Die opsporing en volging van voorwerpe is belangrike komponente van baie rekenaarvisie toepassings, insluitend outomatiese bewaking. Outomatiese bewaking poog om die uitdagings wat verband hou met geslote kring kamera stelsels op te los. Dit sluit in die monitering van groot hoeveelhede kameras en die gepaardgaande arbeidskoste, en kwessies wat verband hou met toegespitse bewaking. Die opsporing van voorwerpe is 'n belangrike stap in 'n bewakingstelsel en moet uitdagings soos veranderinge in die voorwerp se voorkoms en beligting, dinamiese agtergrondvoorwerpe soos ikkerende skerms, en skaduwees oorkom. Ons stelsel maak gebruik van Gaussiese mengselmodelle, wat 'n agtergrond-aftrek metode is, om bewegende voorwerpe op te spoor. Volging is 'n uitdaging, want afmetings van die voorwerp-opsporing stadium is nie gemerk nie en kan afkomstig wees van valse teikens. Ons gebruik verskeie hipotese volging (multiple hypothesis tracking ) om hierdie meting-oorsprong probleem op te los. Praktiese langtermynvolging van voorwerpe moet heridenti seringsvermoëns besit, om die uitdagings wat voortspruit uit mislukte volging en okklusies te kan hanteer. In ons stelsel word elke gevolgde voorwerp 'n een-klas ondersteuningsvektormasjien (one-class support vector machine, OCSVM) toegeken, wat die voorkoms van daardie voorwerp leer. Die OCSVM word aanlyn afgerig met die gebruik van HSV kleurkenmerke. Daarom kan…

Advisors/Committee Members: Brink, W., Govender, N., Stellenbosch University. Faculty of Science. Dept. of Mathematical Sciences..

Subjects/Keywords: Applied mathematics; Automatic tracking; Pedestrians; UCTD

10 more images…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Keaikitse, A. S. (2014). Long-term tracking of multiple interacting pedestrians using a single camera. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/86632

Chicago Manual of Style (16^th Edition):

Keaikitse, Advice Seiphemo. “Long-term tracking of multiple interacting pedestrians using a single camera.” 2014. Masters Thesis, Stellenbosch University. Accessed August 20, 2019. http://hdl.handle.net/10019.1/86632.

MLA Handbook (7^th Edition):

Keaikitse, Advice Seiphemo. “Long-term tracking of multiple interacting pedestrians using a single camera.” 2014. Web. 20 Aug 2019.

Vancouver:

Keaikitse AS. Long-term tracking of multiple interacting pedestrians using a single camera. [Internet] [Masters thesis]. Stellenbosch University; 2014. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10019.1/86632.

Council of Science Editors:

Keaikitse AS. Long-term tracking of multiple interacting pedestrians using a single camera. [Masters Thesis]. Stellenbosch University; 2014. Available from: http://hdl.handle.net/10019.1/86632

Hong Kong University of Science and Technology

12. Chen, Jing. Online generation of safe trajectories for quadrotor UAV flight in cluttered environments.

Degree: 2016, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1626120 ; http://repository.ust.hk/ir/bitstream/1783.1-86990/1/th_redirect.html

► As significant advances have been made in the computation devices, the mechanical technologies and the autonomy science, the public has recently found that having unmanned… (more)

▼ As significant advances have been made in the computation devices, the mechanical technologies and the autonomy science, the public has recently found that having unmanned aerial vehicles(UAVs) involved in our work and daily lives is within the near future. However, despite the maturity of estimation, control and structure techniques, such applications require efficient planning of trajectories for UAVs to safely operate in cluttered environments, which remains a challenging problem and thus is worth our efforts. In this thesis, we present an online method for generating collision-free trajectories for autonomous quadrotor flight through cluttered environments. We consider the real-world scenario that the quadrotor aerial robot is equipped with limited sensing and operates in an initially unknown environment. During flight, an octree-based environment representation is incrementally built using onboard sensors. Utilizing efficient operations in the octree data structure, we are able to generate free-space flight corridors consisting of large overlapping 3-D grids in an online fashion. A novel optimization-based method then generates smooth trajectories that are both bounded entirely within the safe flight corridor and satisfy higher-order dynamical constraints. Our method computes valid trajectories within fractions of a second on a moderately fast computer, thus permitting online re-generation of trajectories for reaction to new obstacles. This method is also extended to address the challenging problem of tracking a moving target in cluttered environments using a quadrotor. Our online trajectory planning method generates smooth, dynamically feasible, and collision-free polynomial trajectories that follow a visually tracked moving target. As visual observations of the target are obtained, the target trajectory can be estimated and used to predict the target motion for a short time horizon. We propose a formulation to embed both the limited horizon tracking error and quadrotor control costs in the cost function for a quadratic programming (QP), while encoding both collision avoidance and dynamical feasibility as linear inequality constraints for the QP. Our method generates tracking trajectories in the order of milliseconds and is therefore suitable for online target tracking with a limited sensing range. We build a complete quadrotor testbed with onboard sensing, state estimation, mapping, and control, and integrate the proposed method to demonstrate the effectiveness of our approach.

Subjects/Keywords: Drone aircraft; Automatic tracking; Quadrotor helicopters; Tracking (Engineering)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chen, J. (2016). Online generation of safe trajectories for quadrotor UAV flight in cluttered environments. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1626120 ; http://repository.ust.hk/ir/bitstream/1783.1-86990/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chen, Jing. “Online generation of safe trajectories for quadrotor UAV flight in cluttered environments.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed August 20, 2019. https://doi.org/10.14711/thesis-b1626120 ; http://repository.ust.hk/ir/bitstream/1783.1-86990/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chen, Jing. “Online generation of safe trajectories for quadrotor UAV flight in cluttered environments.” 2016. Web. 20 Aug 2019.

Vancouver:

Chen J. Online generation of safe trajectories for quadrotor UAV flight in cluttered environments. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2019 Aug 20]. Available from: https://doi.org/10.14711/thesis-b1626120 ; http://repository.ust.hk/ir/bitstream/1783.1-86990/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen J. Online generation of safe trajectories for quadrotor UAV flight in cluttered environments. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: https://doi.org/10.14711/thesis-b1626120 ; http://repository.ust.hk/ir/bitstream/1783.1-86990/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rochester Institute of Technology

13. Douangboupha, Phavanhna. Mobile web resource tracking during a disaster or crisis situation.

Degree: Information Sciences and Technologies (GCCIS), 2009, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/116

► This paper proposes a prototype solution for a mobile web resource tracking system using mobile devices during an emergency situation. The system provides real time… (more)

Subjects/Keywords: Emergency management; Automatic tracking; Resource tracking; Mobile communication

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APA (6^th Edition):

Douangboupha, P. (2009). Mobile web resource tracking during a disaster or crisis situation. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/116

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Douangboupha, Phavanhna. “Mobile web resource tracking during a disaster or crisis situation.” 2009. Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/116.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Douangboupha, Phavanhna. “Mobile web resource tracking during a disaster or crisis situation.” 2009. Web. 20 Aug 2019.

Vancouver:

Douangboupha P. Mobile web resource tracking during a disaster or crisis situation. [Internet] [Thesis]. Rochester Institute of Technology; 2009. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/116.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Douangboupha P. Mobile web resource tracking during a disaster or crisis situation. [Thesis]. Rochester Institute of Technology; 2009. Available from: https://scholarworks.rit.edu/theses/116

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Indian Institute of Science

14. Santhi, B. Supporting Real-Time, Automated Evaluation of Difficulty in Manual Assembly.

Degree: 2017, Indian Institute of Science

URL: http://etd.iisc.ernet.in/2005/3992 ; http://etd.iisc.ernet.in/abstracts/4880/G28549-Abs.pdf

► Product designers address the costs of assembly during the design process. Design process can be more efficient if assembly issues could be addressed early in… (more)

▼ Product designers address the costs of assembly during the design process. Design process can be more efficient if assembly issues could be addressed early in its design process. Doing this requires the ability to assess assemblability among others. Assemblability refers to the ease of assembling the final product from its parts. Assemblability evaluation is applied by product designers for quantitatively estimating the degree of difficulty of the assembly. This helps in identifying areas of improvement, so as to reduce process time and production costs. This work focuses on assessing assemblability in a manual assembly and its importance in the earlier phases of design. Literature contains various methods for assessing assemblability (e.g. Boothroyd-Dewhurst method, the DFA house, Sturges DFA calculator and Sony DFA method). These methods are typically rule-based and their use requires insight and knowledge on the part of the designer. Further, the designer has to interpret and apply them differently in each specific and unique case. Literature also contains methods for ergonomic assessment of manual work and its link with assemblability. Both observation based ergonomic assessment such as RULA, REBA, VIDAR, LUBA and OWAS and instrumentation based ergonomic assessment using electro-goniometer and accelerometer are the techniques reviewed in this thesis for their suitability in assembly assessment. The most recent trend in the area is automation of the evaluation process. This thesis proposes an approach to automated assessment of assemblability using electromagnetic trackers. In spite of advances in industrial automation, manual assembly tasks continue to be an important feature of many industrial operations. The method proposed in the thesis is for the assessment of assemblability of manual assembly that combines both time and postural analysis. The tool used for the static analysis is called Rapid Upper Limb Assessment (RULA); for dynamic analysis a new method of time analysis is proposed that is based on the ratio of time spent in fine and gross motions carried out in an assembly process. The difficulty of assembly of a series of manual assembly tasks are carried out in a laboratory setting. Then by correlating this assessment with the feedback on the difficulty of these assembly task obtained from the subjects who carried out these tasks. The remaining work carried out as a part of this thesis is focussed on automating the process of carrying out the above assessment in an automated manner. Suitability of electromagnetic trackers as a means for automated capture of data necessary for executing the proposed assessment method is studied. Electromagnetic trackers have been used to capture postural data for various limbs of the assembly operators. Data from the limbs are then analysed to identify, to which limb movement signifies which sources of difficulty (i.e. reach, visibility, etc.) in assembly; for example reach difficulty is indicated by torso movement. Finally, the thesis proposes as a part of the future… Advisors/Committee Members: Chakrabarti, Amaresh, Gurumoorthy, B.

Subjects/Keywords: Assemblability Evaluation; Body Tracking Systems; Automatic Assemblability; Electromagnetic Trackers; Automatic Body Tracking; Body Postures - Tracking; Body Tracking Method; Assemblability; Product Design and Manufacturing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Santhi, B. (2017). Supporting Real-Time, Automated Evaluation of Difficulty in Manual Assembly. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/2005/3992 ; http://etd.iisc.ernet.in/abstracts/4880/G28549-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Santhi, B. “Supporting Real-Time, Automated Evaluation of Difficulty in Manual Assembly.” 2017. Thesis, Indian Institute of Science. Accessed August 20, 2019. http://etd.iisc.ernet.in/2005/3992 ; http://etd.iisc.ernet.in/abstracts/4880/G28549-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Santhi, B. “Supporting Real-Time, Automated Evaluation of Difficulty in Manual Assembly.” 2017. Web. 20 Aug 2019.

Vancouver:

Santhi B. Supporting Real-Time, Automated Evaluation of Difficulty in Manual Assembly. [Internet] [Thesis]. Indian Institute of Science; 2017. [cited 2019 Aug 20]. Available from: http://etd.iisc.ernet.in/2005/3992 ; http://etd.iisc.ernet.in/abstracts/4880/G28549-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Santhi B. Supporting Real-Time, Automated Evaluation of Difficulty in Manual Assembly. [Thesis]. Indian Institute of Science; 2017. Available from: http://etd.iisc.ernet.in/2005/3992 ; http://etd.iisc.ernet.in/abstracts/4880/G28549-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

15. Arif, Omar. Robust target localization and segmentation using statistical methods.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

URL: http://hdl.handle.net/1853/33882

► This thesis aims to contribute to the area of visual tracking, which is the process of identifying an object of interest through a sequence of… (more)

Subjects/Keywords: Computer vision; Visual tracking; Kernel methods; Automatic tracking; Image processing Digital techniques; Computer vision; Algorithms

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Arif, O. (2010). Robust target localization and segmentation using statistical methods. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33882

Chicago Manual of Style (16^th Edition):

Arif, Omar. “Robust target localization and segmentation using statistical methods.” 2010. Doctoral Dissertation, Georgia Tech. Accessed August 20, 2019. http://hdl.handle.net/1853/33882.

MLA Handbook (7^th Edition):

Arif, Omar. “Robust target localization and segmentation using statistical methods.” 2010. Web. 20 Aug 2019.

Vancouver:

Arif O. Robust target localization and segmentation using statistical methods. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/1853/33882.

Council of Science Editors:

Arif O. Robust target localization and segmentation using statistical methods. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33882

Stellenbosch University

16. Roelofse, Christiaan E. Detection and tracking of Mmoving objects using stereo vision cameras.

Degree: MEng, Electrical and Electronic Engineering, 2018, Stellenbosch University

URL: http://hdl.handle.net/10019.1/103434

► ENGLISH ABSTRACT: Detection and tracking of moving objects (DATMO) is one of the core components necessary for autonomous navigation of a robot. The robot requires… (more)

▼ ENGLISH ABSTRACT: Detection and tracking of moving objects (DATMO) is one of the core components necessary for autonomous navigation of a robot. The robot requires measurements of its environment, and uses these measurements to construct a representation of the dynamic objects in its environment. Once dynamic objects have been detected, the robot can use their locations and movement for autonomous functionality such as navigation, or collision prediction and avoidance. Of particular interest are vision-based sensors such as cameras, due to the amount of information they give about the environment. However, the amount of information causes difficulty regarding the interpretation and workable utilisation of the information. This thesis outlines a systematic approach for robust estimation of states for DATMO using stereo vision cameras. The mathematical basis of the camera geometry is derived. These include the camera projection transform, camera parameters, and epipolar geometry. Imagefeatures are obtained from both the left and right cameras and are matched. These matched image-feature pairs are triangulated to form 3D measurements of the moving objects in the robot’s environment. These 3D measurements are then used to filter the state estimates of the moving objects. Popular feature detection algorithms are expounded and investigated. ORB, KAZE, and A-KAZE are chosen for implementation and comparison. Factors pertaining to feature detection and matching, such as subpixel accuracy and matching strength, are weighed in light of a desired robust implementation. The data association problem, that is which objects in the environment caused which measurements, is addressed. Methods used to address the problem, such as global nearest neighbour, probabilistic data association, and multiple hypothesis tracking (MHT), are examined. A multiple hypothesis tracking solution that uses Bayesian statistics is used in order to reliably associate measurements to objects in the robot’s environment. Necessary approximations to the MHT approach are made and justified. The approximations result in a first-order approximation and a Gaussian mixture density description. The issue of unbounded associations is addressed and managed with techniques that remove, approximate, or prevent unnecessary state estimates. Algorithms are tested using the KITTI dataset in Python. LiDAR is used to evaluate the results of the algorithm. The computational cost of the algorithm is the biggest issue highlighted by the results. This is due to the complexity of the multiple hypothesis tracking solution and the large number of image-features used to ensure robust and reliable functionality. The results of the thesis demonstrate that there is philosophical conflict between the requirement of robust estimation on the filtering side, and the large number of measurements required from camera images. The complexity increases with the number of measurements, but many measurements are needed in order to provide a reliable representation… Advisors/Committee Members: Van Daalen, Corne E., Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering..

Subjects/Keywords: Motion picture cameras; UCTD; Detection (Electronics); Automatic tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Roelofse, C. E. (2018). Detection and tracking of Mmoving objects using stereo vision cameras. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/103434

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Roelofse, Christiaan E. “Detection and tracking of Mmoving objects using stereo vision cameras.” 2018. Thesis, Stellenbosch University. Accessed August 20, 2019. http://hdl.handle.net/10019.1/103434.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Roelofse, Christiaan E. “Detection and tracking of Mmoving objects using stereo vision cameras.” 2018. Web. 20 Aug 2019.

Vancouver:

Roelofse CE. Detection and tracking of Mmoving objects using stereo vision cameras. [Internet] [Thesis]. Stellenbosch University; 2018. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10019.1/103434.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Roelofse CE. Detection and tracking of Mmoving objects using stereo vision cameras. [Thesis]. Stellenbosch University; 2018. Available from: http://hdl.handle.net/10019.1/103434

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

17. Wang, Naiyan. A unified framework and applications of machine learning methods for visual tracking.

Degree: 2015, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1514602 ; http://repository.ust.hk/ir/bitstream/1783.1-78833/1/th_redirect.html

► Visual tracking is a fundamental task in computer vision. Numerous subsequent applications such as video semantic analysis call for reliable tracking results. In this thesis,… (more)

▼ Visual tracking is a fundamental task in computer vision. Numerous subsequent applications such as video semantic analysis call for reliable tracking results. In this thesis, we first delve into a tracker to analyze the most influential components for good performance. In particular, we propose a novel framework for tracker evaluation which decomposes a tracker into five parts: motion model, feature extractor, observation model, model updater, and ensemble post-processor. We find that the feature extractor plays the most important role in a tracker. Although the observation model is the focus of many studies, it often brings no significant improvement. Moreover, the motion model and model updater contain many details that could affect the result. The ensemble post-processor can also improve the result substantially when the constituent trackers have high diversity. Though we cannot cast all the existing trackers into the evaluation framework, we cover most of the popular ones. We believe the analyses are universal enough to enlighten some future research directions. Based on these analyses, we decide to apply advanced machine learning techniques for visual tracking. Particularly, we focus on the feature learning and ensemble post-processing parts. In feature learning, we try three different approaches which are based on online non-negative robust dictionary learning, stacked denoising autoencoder (SDAE) and convolutional neural network (CNN). In the first method, we present an online robust non-negative dictionary learning algorithm for updating the object templates, and devise a novel online projected gradient descent method to solve the dictionary learning problem. Our algorithm blends the past information and the current tracking result in a principled way. It can automatically detect and reject the occlusion and cluttered background, yielding robust object templates. For the next two methods, we build our methods on the idea of transfer learning. We propose to transfer generic image and object features which are learned offline to online tracking. Our first attempt is to train an SDAE using one million auxiliary natural images, and then transfer the encoder part of the SDAE as a feature extractor to online tracking. An additional classifier layer is appended to the top of the encoder in online tracking, then both the feature extractor and the classifier can be fine-tuned to adapt to appearance changes of the moving object. Our second approach is based on CNN. To tackle the disadvantages of the previous approach, we utilize CNN which is a more powerful deep learning model as demonstrated by many researchers in recent years. We further improve the vanilla CNN with objectness pretraining and structured output. Experiments on a recent benchmark [81] show the superiority of the proposed methods. For the ensemble post-processor, inspired by some recent studies on crowdsourcing, we propose a novel factorial hidden Markov model (FHMM) for aggregating structured output time series data. For efficient online inference of…

Subjects/Keywords: Automatic tracking; Mathematical models; Computer vision; Machine learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wang, N. (2015). A unified framework and applications of machine learning methods for visual tracking. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1514602 ; http://repository.ust.hk/ir/bitstream/1783.1-78833/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Naiyan. “A unified framework and applications of machine learning methods for visual tracking.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed August 20, 2019. https://doi.org/10.14711/thesis-b1514602 ; http://repository.ust.hk/ir/bitstream/1783.1-78833/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Naiyan. “A unified framework and applications of machine learning methods for visual tracking.” 2015. Web. 20 Aug 2019.

Vancouver:

Wang N. A unified framework and applications of machine learning methods for visual tracking. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2019 Aug 20]. Available from: https://doi.org/10.14711/thesis-b1514602 ; http://repository.ust.hk/ir/bitstream/1783.1-78833/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang N. A unified framework and applications of machine learning methods for visual tracking. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: https://doi.org/10.14711/thesis-b1514602 ; http://repository.ust.hk/ir/bitstream/1783.1-78833/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

18. Cheung, King Shan. Human tracking in crowded environment with stereo cameras.

Degree: 2011, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1155520 ; http://repository.ust.hk/ir/bitstream/1783.1-7396/1/th_redirect.html

► In this thesis, a human detection and tracking system in a crowded environment is presented. The biggest challenge of the system is to detect occluded… (more)

Subjects/Keywords: Video surveillance; Automatic tracking; Image processing – Digital techniques

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Cheung, K. S. (2011). Human tracking in crowded environment with stereo cameras. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1155520 ; http://repository.ust.hk/ir/bitstream/1783.1-7396/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Cheung, King Shan. “Human tracking in crowded environment with stereo cameras.” 2011. Thesis, Hong Kong University of Science and Technology. Accessed August 20, 2019. https://doi.org/10.14711/thesis-b1155520 ; http://repository.ust.hk/ir/bitstream/1783.1-7396/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Cheung, King Shan. “Human tracking in crowded environment with stereo cameras.” 2011. Web. 20 Aug 2019.

Vancouver:

Cheung KS. Human tracking in crowded environment with stereo cameras. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2011. [cited 2019 Aug 20]. Available from: https://doi.org/10.14711/thesis-b1155520 ; http://repository.ust.hk/ir/bitstream/1783.1-7396/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cheung KS. Human tracking in crowded environment with stereo cameras. [Thesis]. Hong Kong University of Science and Technology; 2011. Available from: https://doi.org/10.14711/thesis-b1155520 ; http://repository.ust.hk/ir/bitstream/1783.1-7396/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

19. Liu, Ran. A location-guided mobile robot control platform.

Degree: 2005, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b915525 ; http://repository.ust.hk/ir/bitstream/1783.1-5811/1/th_redirect.html

► Driven by the increasing demand for mobility and automation in both research and application domains, mobile robots have started to draw wide attention from researchers… (more)

▼ Driven by the increasing demand for mobility and automation in both research and application domains, mobile robots have started to draw wide attention from researchers in academia as well as industry. Among the innumerable research topics in robotics, two fundamental issues lie in the technologies of location sensing and path planning. This thesis studies the two issues in real world environments which are inherently uncertain and dynamic. We address the location sensing issue with an active Radio Frequency Identification (RFID) based indoor location sensing technology. The technique uses adaptive temporal radio maps and reference points to enhance computation efficiency and offset environmental variations. In particular, we investigate the RFID tag signal characteristics in an indoor environment and analyze the feasibility of utilizing active RFID for location estimation. Then, we propose a data mining technique using deterministic methodology to achieve higher estimation accuracy and improved systematic properties including maintainability, scalability and cost. To address the issue of planning with imperfect information in dynamic environments, we propose a heuristic-based, anytime planning and replanning algorithm. Our research attempt is to combine the benefits of anytime and incremental planning to provide efficient solutions to complex, dynamic search problems. Besides, obstruction avoidance is taken care of by the anytime replanning within the available deliberation time. A case study of the research results is conducted with a prototype system. The system is built utilizing composition methodology. The location sensing and path planning subsystems are implemented as components such that they can operate and interoperate with the component-oriented software infrastructure through plug-and-play integration. The case study aims to provide qualitative analysis of the scientific methodologies and real world values behind the prototype as well as demonstrating its functionality and applicability in learning activities.

Subjects/Keywords: Mobile robots; Automatic tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Liu, R. (2005). A location-guided mobile robot control platform. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b915525 ; http://repository.ust.hk/ir/bitstream/1783.1-5811/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Liu, Ran. “A location-guided mobile robot control platform.” 2005. Thesis, Hong Kong University of Science and Technology. Accessed August 20, 2019. https://doi.org/10.14711/thesis-b915525 ; http://repository.ust.hk/ir/bitstream/1783.1-5811/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Liu, Ran. “A location-guided mobile robot control platform.” 2005. Web. 20 Aug 2019.

Vancouver:

Liu R. A location-guided mobile robot control platform. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2005. [cited 2019 Aug 20]. Available from: https://doi.org/10.14711/thesis-b915525 ; http://repository.ust.hk/ir/bitstream/1783.1-5811/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu R. A location-guided mobile robot control platform. [Thesis]. Hong Kong University of Science and Technology; 2005. Available from: https://doi.org/10.14711/thesis-b915525 ; http://repository.ust.hk/ir/bitstream/1783.1-5811/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

20. Sato, Koichi. Temporal spatio-velocity transform and its applications.

Degree: Electrical and Computer Engineering, 2006, University of Texas – Austin

URL: http://hdl.handle.net/2152/2637

► Object tracking is important in various applications such as video surveillance systems, video annotation systems, and human interaction classification systems. Occlusion and noise are the… (more)

▼ Object tracking is important in various applications such as video surveillance systems, video annotation systems, and human interaction classification systems. Occlusion and noise are the most significant problems in object tracking. In order to overcome these problems, I introduce the temporal spatio-velocity (TSV) transform, which extracts pixel velocities from image sequences. The TSV transform appends the velocity axes to the image sequences and separates occluding objects based on their velocities. The TSV transform is derived from the Hough transform over windowed spatio-temporal images. I present the methodology of the transform and its implementation in an iterative computational form. The intensity at each pixel in the TSV image represents a measure of the likelihood of occurrence of a pixel with instantaneous velocity in the current position. Binarization of the TSV image extracts blobs based on the similarity of velocity and position. The TSV transform provides an efficient way to remove noise by focusing on stable velocities, and constructs noise-free blobs. In this dissertation, I introduce three applications using the TSV transform. The applications are (i) human interaction recognition system, (ii) object tracking system in occluding environments, and (iii) soccer player tracking system. The human interaction recognition system uses side-view image sequences and tracks persons walking on sidewalks. Then it recognizes the interactions between two persons such as “two persons meet from different directions” and “one person follows another person”. The system correctly tracks persons and recognizes the interactions between them. The object tracking system in occluding environments tracks moving objects behind static obstacles, such as trees and fences. Although the static obstacles divide moving objects into several pieces both temporally and spatially, the system correctly tracks the objects. The soccer player tracking system tracks soccer players and referees using the ordinary TV broadcasting images. Although the soccer players make complex movements and the camera moves frequently, the system correctly tracks the players and referees. Advisors/Committee Members: Aggarwal, J. K. (Jagdishkumar Keshoram), 1936- (advisor).

Subjects/Keywords: Automatic tracking; Image processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sato, K. (2006). Temporal spatio-velocity transform and its applications. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/2637

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sato, Koichi. “Temporal spatio-velocity transform and its applications.” 2006. Thesis, University of Texas – Austin. Accessed August 20, 2019. http://hdl.handle.net/2152/2637.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sato, Koichi. “Temporal spatio-velocity transform and its applications.” 2006. Web. 20 Aug 2019.

Vancouver:

Sato K. Temporal spatio-velocity transform and its applications. [Internet] [Thesis]. University of Texas – Austin; 2006. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/2152/2637.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sato K. Temporal spatio-velocity transform and its applications. [Thesis]. University of Texas – Austin; 2006. Available from: http://hdl.handle.net/2152/2637

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Columbia University

21. Zhu, Jianzhong. Synthesis and Analysis of Design Methods in Linear Repetitive, Iterative Learning and Model Predictive Control.

Degree: 2018, Columbia University

URL: https://doi.org/10.7916/D87S918J

► Repetitive Control (RC) seeks to converge to zero tracking error of a feedback control system performing periodic command as time progresses, or to cancel the… (more)

▼ Repetitive Control (RC) seeks to converge to zero tracking error of a feedback control system performing periodic command as time progresses, or to cancel the influence of a periodic disturbance as time progresses, by observing the error in the previous period. Iterative Learning Control (ILC) is similar, it aims to converge to zero tracking error of system repeatedly performing the same task, and also adjusting the command to the feedback controller each repetition based on the error in the previous repetition. Compared to the conventional feedback control design methods, RC and ILC improve the performance over repetitions, and both aiming at zero tracking error in the real world instead of in a mathematical model. Linear Model Predictive Control (LMPC) normally does not aim for zero tracking error following a desired trajectory, but aims to minimize a quadratic cost function to the prediction horizon, and then apply the first control action. Then repeat the process each time step. The usual quadratic cost is a trade-off function between tracking accuracy and control effort and hence is not asking for zero error. It is also not specialized to periodic command or periodic disturbance as RC is, but does require that one knows the future desired command up to the prediction horizon. The objective of this dissertation is to present various design schemes of improving the tracking performance in a control system based on ILC, RC and LMPC. The dissertation contains four major chapters. The first chapter studies the optimization of the design parameters, in particular as related to measurement noise, and the need of a cutoff filter when dealing with actuator limitations, robustness to model error. The results aim to guide the user in tuning the design parameters available when creating a repetitive control system. In the second chapter, we investigate how ILC laws can be converted for use in RC to improve performance. And robustification by adding control penalty in cost function is compared to use a frequency cutoff filter. The third chapter develops a method to create desired trajectories with a zero tracking interval without involving an unstable inverse solution. An easily implementable feedback version is created to optimize the same cost every time step from the current measured position. An ILC algorithm is also created to iteratively learn to give local zero error in the real world while using an imperfect model. This approach also gives a method to apply ILC to endpoint problem without specifying an arbitrary trajectory to follow to reach the endpoint. This creates a method for ILC to apply to such problems without asking for accurate tracking of a somewhat arbitrary trajectory to accomplish learning to reach the desired endpoint. The last chapter outlines a set of uses for a stable inverse in control applications, including Linear Model Predictive Control (LMPC), and LMPC applied to Repetitive Control (RC-LMPC), and a generalized form of a one-step ahead control. An important characteristic is that this…

Subjects/Keywords: Mechanical engineering; Feedback control systems; Automatic tracking; Adaptive control systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhu, J. (2018). Synthesis and Analysis of Design Methods in Linear Repetitive, Iterative Learning and Model Predictive Control. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D87S918J

Chicago Manual of Style (16^th Edition):

Zhu, Jianzhong. “Synthesis and Analysis of Design Methods in Linear Repetitive, Iterative Learning and Model Predictive Control.” 2018. Doctoral Dissertation, Columbia University. Accessed August 20, 2019. https://doi.org/10.7916/D87S918J.

MLA Handbook (7^th Edition):

Zhu, Jianzhong. “Synthesis and Analysis of Design Methods in Linear Repetitive, Iterative Learning and Model Predictive Control.” 2018. Web. 20 Aug 2019.

Vancouver:

Zhu J. Synthesis and Analysis of Design Methods in Linear Repetitive, Iterative Learning and Model Predictive Control. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2019 Aug 20]. Available from: https://doi.org/10.7916/D87S918J.

Council of Science Editors:

Zhu J. Synthesis and Analysis of Design Methods in Linear Repetitive, Iterative Learning and Model Predictive Control. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D87S918J

University of Johannesburg

22. Janse van Rensburg, Tersia. The contour tracking of a rugby ball : an application of particle filtering.

Degree: 2012, University of Johannesburg

URL: http://hdl.handle.net/10210/4350

►

M.Ing.

Object tracking in image sequences, in its general form, is very challenging. Due to the prohibitive complexity thereof, research has lead to the idea… (more)

Subjects/Keywords: Electric filters; Automatic tracking; Image processing; Monte Carlo method

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APA (6^th Edition):

Janse van Rensburg, T. (2012). The contour tracking of a rugby ball : an application of particle filtering. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/4350

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Janse van Rensburg, Tersia. “The contour tracking of a rugby ball : an application of particle filtering.” 2012. Thesis, University of Johannesburg. Accessed August 20, 2019. http://hdl.handle.net/10210/4350.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Janse van Rensburg, Tersia. “The contour tracking of a rugby ball : an application of particle filtering.” 2012. Web. 20 Aug 2019.

Vancouver:

Janse van Rensburg T. The contour tracking of a rugby ball : an application of particle filtering. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10210/4350.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Janse van Rensburg T. The contour tracking of a rugby ball : an application of particle filtering. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/4350

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

23. Xu, Min. Automatic tracking of protein vesicles.

Degree: MA, Applied Mathematics, 2009, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/221645/rec/1002

► With the advance of fluorescence imaging technologies, recently cell biologists are able to record the movement of protein vesicles within a living cell. Automatic tracking… (more)

Subjects/Keywords: cell biology; protein transportation; automatic tracking; Kalman filters; dynamical programming

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APA (6^th Edition):

Xu, M. (2009). Automatic tracking of protein vesicles. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/221645/rec/1002

Chicago Manual of Style (16^th Edition):

Xu, Min. “Automatic tracking of protein vesicles.” 2009. Masters Thesis, University of Southern California. Accessed August 20, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/221645/rec/1002.

MLA Handbook (7^th Edition):

Xu, Min. “Automatic tracking of protein vesicles.” 2009. Web. 20 Aug 2019.

Vancouver:

Xu M. Automatic tracking of protein vesicles. [Internet] [Masters thesis]. University of Southern California; 2009. [cited 2019 Aug 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/221645/rec/1002.

Council of Science Editors:

Xu M. Automatic tracking of protein vesicles. [Masters Thesis]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/221645/rec/1002

University of Johannesburg

24. Ferreira, Gideon. Stereo vision based target tracking for a gun turret utilizing low performance components.

Degree: 2009, University of Johannesburg

URL: http://hdl.handle.net/10210/2165

M.Ing.

Subjects/Keywords: Targets (Shooting); Turrets; Automatic control; Automatic tracking; Programmable controllers

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ferreira, G. (2009). Stereo vision based target tracking for a gun turret utilizing low performance components. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/2165

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ferreira, Gideon. “Stereo vision based target tracking for a gun turret utilizing low performance components.” 2009. Thesis, University of Johannesburg. Accessed August 20, 2019. http://hdl.handle.net/10210/2165.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ferreira, Gideon. “Stereo vision based target tracking for a gun turret utilizing low performance components.” 2009. Web. 20 Aug 2019.

Vancouver:

Ferreira G. Stereo vision based target tracking for a gun turret utilizing low performance components. [Internet] [Thesis]. University of Johannesburg; 2009. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10210/2165.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ferreira G. Stereo vision based target tracking for a gun turret utilizing low performance components. [Thesis]. University of Johannesburg; 2009. Available from: http://hdl.handle.net/10210/2165

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Johannesburg

25. Brauer, Herman Daniel Bertrus. Real-time target tracking for a gun-turret using low cost visual servoing.

Degree: 2008, University of Johannesburg

URL: http://hdl.handle.net/10210/445

Prof. A.L. Nel

Subjects/Keywords: Targets (Shooting); Turrets; Automatic control; Automatic tracking; Programmable controllers

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APA (6^th Edition):

Brauer, H. D. B. (2008). Real-time target tracking for a gun-turret using low cost visual servoing. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/445

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Brauer, Herman Daniel Bertrus. “Real-time target tracking for a gun-turret using low cost visual servoing.” 2008. Thesis, University of Johannesburg. Accessed August 20, 2019. http://hdl.handle.net/10210/445.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Brauer, Herman Daniel Bertrus. “Real-time target tracking for a gun-turret using low cost visual servoing.” 2008. Web. 20 Aug 2019.

Vancouver:

Brauer HDB. Real-time target tracking for a gun-turret using low cost visual servoing. [Internet] [Thesis]. University of Johannesburg; 2008. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10210/445.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brauer HDB. Real-time target tracking for a gun-turret using low cost visual servoing. [Thesis]. University of Johannesburg; 2008. Available from: http://hdl.handle.net/10210/445

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

26. Palkki, Ryan D. Addressing Track Coalescence in Sequential K-Best Multiple Hypothesis Tracking.

Degree: MS, Electrical and Computer Engineering, 2006, Georgia Tech

URL: http://hdl.handle.net/1853/11493

► Multiple Hypothesis Tracking (MHT) is generally the preferred data association technique for tracking targets in clutter and with missed detections due to its increased accuracy… (more)

Subjects/Keywords: Target tracking; Kalman filter; Automatic tracking; Kalman filtering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Palkki, R. D. (2006). Addressing Track Coalescence in Sequential K-Best Multiple Hypothesis Tracking. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/11493

Chicago Manual of Style (16^th Edition):

Palkki, Ryan D. “Addressing Track Coalescence in Sequential K-Best Multiple Hypothesis Tracking.” 2006. Masters Thesis, Georgia Tech. Accessed August 20, 2019. http://hdl.handle.net/1853/11493.

MLA Handbook (7^th Edition):

Palkki, Ryan D. “Addressing Track Coalescence in Sequential K-Best Multiple Hypothesis Tracking.” 2006. Web. 20 Aug 2019.

Vancouver:

Palkki RD. Addressing Track Coalescence in Sequential K-Best Multiple Hypothesis Tracking. [Internet] [Masters thesis]. Georgia Tech; 2006. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/1853/11493.

Council of Science Editors:

Palkki RD. Addressing Track Coalescence in Sequential K-Best Multiple Hypothesis Tracking. [Masters Thesis]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/11493

Brno University of Technology

27. Vrzal, Radek. Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích .

Degree: 2016, Brno University of Technology

URL: http://hdl.handle.net/11012/61837

► Tato práce pojednává o návrhu systému pro automatické počítání cestujících v dopravních prostředcích. Jednotky počítající cestující jsou umístěny na stopě dveřního prostoru vozidla. Cestující jsou… (more)

Subjects/Keywords: automatické počítání cestujících; stereo vidění; disparita; sledování cíle; sledování více cílů; automatic passenger counting; stereo vision; target tracking; multi target tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Vrzal, R. (2016). Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/61837

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Vrzal, Radek. “Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích .” 2016. Thesis, Brno University of Technology. Accessed August 20, 2019. http://hdl.handle.net/11012/61837.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Vrzal, Radek. “Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích .” 2016. Web. 20 Aug 2019.

Vancouver:

Vrzal R. Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích . [Internet] [Thesis]. Brno University of Technology; 2016. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/11012/61837.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vrzal R. Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích . [Thesis]. Brno University of Technology; 2016. Available from: http://hdl.handle.net/11012/61837

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Western Sydney

28. Su, Feng. Computer vision in target pursuit using a UAV.

Degree: 2018, University of Western Sydney

URL: http://hdl.handle.net/1959.7/uws:50228

► Research in target pursuit using Unmanned Aerial Vehicle (UAV) has gained attention in recent years, this is primarily due to decrease in cost and increase… (more)

▼ Research in target pursuit using Unmanned Aerial Vehicle (UAV) has gained attention in recent years, this is primarily due to decrease in cost and increase in demand of small UAVs in many sectors. In computer vision, target pursuit is a complex problem as it involves the solving of many sub-problems which are typically concerned with the detection, tracking and following of the object of interest. At present, the majority of related existing methods are developed using computer simulation with the assumption of ideal environmental factors, while the remaining few practical methods are mainly developed to track and follow simple objects that contain monochromatic colours with very little texture variances. Current research in this topic is lacking of practical vision based approaches. Thus the aim of this research is to fill the gap by developing a real-time algorithm capable of following a person continuously given only a photo input. As this research considers the whole procedure as an autonomous system, therefore the drone is activated automatically upon receiving a photo of a person through Wi-Fi. This means that the whole system can be triggered by simply emailing a single photo from any device anywhere. This is done by first implementing image fetching to automatically connect to WIFI, download the image and decode it. Then, human detection is performed to extract the template from the upper body of the person, the intended target is acquired using both human detection and template matching. Finally, target pursuit is achieved by tracking the template continuously while sending the motion commands to the drone. In the target pursuit system, the detection is mainly accomplished using a proposed human detection method that is capable of detecting, extracting and segmenting the human body figure robustly from the background without prior training. This involves detecting face, head and shoulder separately, mainly using gradient maps. While the tracking is mainly accomplished using a proposed generic and non-learning template matching method, this involves combining intensity template matching with colour histogram model and employing a three-tier system for template management. A flight controller is also developed, it supports three types of controls: keyboard, mouse and text messages. Furthermore, the drone is programmed with three different modes: standby, sentry and search. To improve the detection and tracking of colour objects, this research has also proposed several colour related methods. One of them is a colour model for colour detection which consists of three colour components: hue, purity and brightness. Hue represents the colour angle, purity represents the colourfulness and brightness represents intensity. It can be represented in three different geometric shapes: sphere, hemisphere and cylinder, each of these shapes also contains two variations. Experimental results have shown that the target pursuit algorithm is capable of identifying and following the target person robustly given only a photo… Advisors/Committee Members: Western Sydney University. School of Computing, Engineering and Mathematics (Host institution).

Subjects/Keywords: drone aircraft; computer vision; automatic tracking; mathematical models; algorithms; object tracking; Thesis (Ph.D.) – Western Sydney University, 2018

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Su, F. (2018). Computer vision in target pursuit using a UAV. (Thesis). University of Western Sydney. Retrieved from http://hdl.handle.net/1959.7/uws:50228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Su, Feng. “Computer vision in target pursuit using a UAV.” 2018. Thesis, University of Western Sydney. Accessed August 20, 2019. http://hdl.handle.net/1959.7/uws:50228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Su, Feng. “Computer vision in target pursuit using a UAV.” 2018. Web. 20 Aug 2019.

Vancouver:

Su F. Computer vision in target pursuit using a UAV. [Internet] [Thesis]. University of Western Sydney; 2018. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/1959.7/uws:50228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Su F. Computer vision in target pursuit using a UAV. [Thesis]. University of Western Sydney; 2018. Available from: http://hdl.handle.net/1959.7/uws:50228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Hong Kong

29. 李宏釗; Li, Wan-chiu. Localization of a mobile robot by monocular vision.

Degree: M. Phil., 2001, University of Hong Kong

URL: Li, W. [李宏釗]. (2001). Localization of a mobile robot by monocular vision. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122637 ; http://dx.doi.org/10.5353/th_b3122637 ; http://hdl.handle.net/10722/33631

published_or_final_version

Electrical and Electronic Engineering

Master

Master of Philosophy

Advisors/Committee Members: Leung, CH.

Subjects/Keywords: Automatic tracking.; Robot vision.; Robots - Motion.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

李宏釗; Li, W. (2001). Localization of a mobile robot by monocular vision. (Masters Thesis). University of Hong Kong. Retrieved from Li, W. [李宏釗]. (2001). Localization of a mobile robot by monocular vision. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122637 ; http://dx.doi.org/10.5353/th_b3122637 ; http://hdl.handle.net/10722/33631

Chicago Manual of Style (16^th Edition):

李宏釗; Li, Wan-chiu. “Localization of a mobile robot by monocular vision.” 2001. Masters Thesis, University of Hong Kong. Accessed August 20, 2019. Li, W. [李宏釗]. (2001). Localization of a mobile robot by monocular vision. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122637 ; http://dx.doi.org/10.5353/th_b3122637 ; http://hdl.handle.net/10722/33631.

MLA Handbook (7^th Edition):

李宏釗; Li, Wan-chiu. “Localization of a mobile robot by monocular vision.” 2001. Web. 20 Aug 2019.

Vancouver:

李宏釗; Li W. Localization of a mobile robot by monocular vision. [Internet] [Masters thesis]. University of Hong Kong; 2001. [cited 2019 Aug 20]. Available from: Li, W. [李宏釗]. (2001). Localization of a mobile robot by monocular vision. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122637 ; http://dx.doi.org/10.5353/th_b3122637 ; http://hdl.handle.net/10722/33631.

Council of Science Editors:

李宏釗; Li W. Localization of a mobile robot by monocular vision. [Masters Thesis]. University of Hong Kong; 2001. Available from: Li, W. [李宏釗]. (2001). Localization of a mobile robot by monocular vision. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122637 ; http://dx.doi.org/10.5353/th_b3122637 ; http://hdl.handle.net/10722/33631

Hong Kong University of Science and Technology

30. Cheung, Pak Ming. MCMC-based human tracking with stereo cameras under frequent interaction and occlusion.

Degree: 2012, Hong Kong University of Science and Technology

URL: https://doi.org/10.14711/thesis-b1198663 ; http://repository.ust.hk/ir/bitstream/1783.1-7786/1/th_redirect.html

► Human Tracking in a video sequence is an important task in civilian surveillance. Successful human tracking provides data for security-purposes and personal monitoring systems. The… (more)

Subjects/Keywords: Automatic tracking; Video surveillance; Image processing – Digital techniques; Markov processes; Monte Carlo method

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Cheung, P. M. (2012). MCMC-based human tracking with stereo cameras under frequent interaction and occlusion. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1198663 ; http://repository.ust.hk/ir/bitstream/1783.1-7786/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Cheung, Pak Ming. “MCMC-based human tracking with stereo cameras under frequent interaction and occlusion.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed August 20, 2019. https://doi.org/10.14711/thesis-b1198663 ; http://repository.ust.hk/ir/bitstream/1783.1-7786/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Cheung, Pak Ming. “MCMC-based human tracking with stereo cameras under frequent interaction and occlusion.” 2012. Web. 20 Aug 2019.

Vancouver:

Cheung PM. MCMC-based human tracking with stereo cameras under frequent interaction and occlusion. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2019 Aug 20]. Available from: https://doi.org/10.14711/thesis-b1198663 ; http://repository.ust.hk/ir/bitstream/1783.1-7786/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cheung PM. MCMC-based human tracking with stereo cameras under frequent interaction and occlusion. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: https://doi.org/10.14711/thesis-b1198663 ; http://repository.ust.hk/ir/bitstream/1783.1-7786/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Open Access Theses and Dissertations