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You searched for subject:(Object tracking). Showing records 1 – 30 of 417 total matches.

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Linköping University

1. Nyström, Axel. Evaluation of Multiple Object Tracking in Surveillance Video.

Degree: Computer Vision, 2019, Linköping University

  Multiple object tracking is the process of assigning unique and consistent identities to objects throughout a video sequence. A popular approach to multiple object(more)

Subjects/Keywords: Multiple Object Tracking; Tracking-by-Detection; Object Detection; Object Tracking; Deep Learning; Signal Processing; Signalbehandling

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

APA (6th Edition):

Nyström, A. (2019). Evaluation of Multiple Object Tracking in Surveillance Video. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157666

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

Chicago Manual of Style (16th Edition):

Nyström, Axel. “Evaluation of Multiple Object Tracking in Surveillance Video.” 2019. Thesis, Linköping University. Accessed March 08, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157666.

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

MLA Handbook (7th Edition):

Nyström, Axel. “Evaluation of Multiple Object Tracking in Surveillance Video.” 2019. Web. 08 Mar 2021.

Vancouver:

Nyström A. Evaluation of Multiple Object Tracking in Surveillance Video. [Internet] [Thesis]. Linköping University; 2019. [cited 2021 Mar 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157666.

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

Council of Science Editors:

Nyström A. Evaluation of Multiple Object Tracking in Surveillance Video. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157666

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


University of Adelaide

2. Wang, Xinyu. High-performance Object Detection and Tracking Using Deep Learning.

Degree: 2019, University of Adelaide

 Human detection and tracking are two fundamental problems in computer vision, which have been cornerstones for many real-world applications such as video surveillance, intelligent transportation… (more)

Subjects/Keywords: Object detection; object tracking; deep learning

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

APA (6th Edition):

Wang, X. (2019). High-performance Object Detection and Tracking Using Deep Learning. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/124521

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

Chicago Manual of Style (16th Edition):

Wang, Xinyu. “High-performance Object Detection and Tracking Using Deep Learning.” 2019. Thesis, University of Adelaide. Accessed March 08, 2021. http://hdl.handle.net/2440/124521.

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

MLA Handbook (7th Edition):

Wang, Xinyu. “High-performance Object Detection and Tracking Using Deep Learning.” 2019. Web. 08 Mar 2021.

Vancouver:

Wang X. High-performance Object Detection and Tracking Using Deep Learning. [Internet] [Thesis]. University of Adelaide; 2019. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/2440/124521.

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

Council of Science Editors:

Wang X. High-performance Object Detection and Tracking Using Deep Learning. [Thesis]. University of Adelaide; 2019. Available from: http://hdl.handle.net/2440/124521

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


Australian National University

3. Zhu, Gao. An Exploration into Model-Free Online Visual Object Tracking .

Degree: 2016, Australian National University

 This thesis presents a thorough investigation of model-free visual object tracking, a fundamental computer vision task that is essential for practical video analytics applications. Given… (more)

Subjects/Keywords: object tracking; model-free; online

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APA (6th Edition):

Zhu, G. (2016). An Exploration into Model-Free Online Visual Object Tracking . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/112128

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

Chicago Manual of Style (16th Edition):

Zhu, Gao. “An Exploration into Model-Free Online Visual Object Tracking .” 2016. Thesis, Australian National University. Accessed March 08, 2021. http://hdl.handle.net/1885/112128.

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

MLA Handbook (7th Edition):

Zhu, Gao. “An Exploration into Model-Free Online Visual Object Tracking .” 2016. Web. 08 Mar 2021.

Vancouver:

Zhu G. An Exploration into Model-Free Online Visual Object Tracking . [Internet] [Thesis]. Australian National University; 2016. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1885/112128.

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

Council of Science Editors:

Zhu G. An Exploration into Model-Free Online Visual Object Tracking . [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/112128

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


University of Windsor

4. Kiani, Kasra. Estimation, Detection and Tracking of Point Objects ON VIDEO.

Degree: MA, Electrical and Computer Engineering, 2020, University of Windsor

 Detecting an extremely small object in a image has always been an important problem. The problem of detecting an object with circular Point Spread Function… (more)

Subjects/Keywords: Eye Tracking; Eye-Gaze Estimation; Image Processing; Object Detection; Tracking Object

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

APA (6th Edition):

Kiani, K. (2020). Estimation, Detection and Tracking of Point Objects ON VIDEO. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/8378

Chicago Manual of Style (16th Edition):

Kiani, Kasra. “Estimation, Detection and Tracking of Point Objects ON VIDEO.” 2020. Masters Thesis, University of Windsor. Accessed March 08, 2021. https://scholar.uwindsor.ca/etd/8378.

MLA Handbook (7th Edition):

Kiani, Kasra. “Estimation, Detection and Tracking of Point Objects ON VIDEO.” 2020. Web. 08 Mar 2021.

Vancouver:

Kiani K. Estimation, Detection and Tracking of Point Objects ON VIDEO. [Internet] [Masters thesis]. University of Windsor; 2020. [cited 2021 Mar 08]. Available from: https://scholar.uwindsor.ca/etd/8378.

Council of Science Editors:

Kiani K. Estimation, Detection and Tracking of Point Objects ON VIDEO. [Masters Thesis]. University of Windsor; 2020. Available from: https://scholar.uwindsor.ca/etd/8378


Universiteit Utrecht

5. Deiman, J. Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality.

Degree: 2016, Universiteit Utrecht

 The Netherlands Aerospace Centre (NLR) has a virtual reality setup which allows users to experience an airplane fly-over with realistically simulated sound. They want to… (more)

Subjects/Keywords: object detection; object tracking; object segmentation; inpainting; virtual reality; panoramic video

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

APA (6th Edition):

Deiman, J. (2016). Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/334268

Chicago Manual of Style (16th Edition):

Deiman, J. “Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality.” 2016. Masters Thesis, Universiteit Utrecht. Accessed March 08, 2021. http://dspace.library.uu.nl:8080/handle/1874/334268.

MLA Handbook (7th Edition):

Deiman, J. “Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality.” 2016. Web. 08 Mar 2021.

Vancouver:

Deiman J. Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality. [Internet] [Masters thesis]. Universiteit Utrecht; 2016. [cited 2021 Mar 08]. Available from: http://dspace.library.uu.nl:8080/handle/1874/334268.

Council of Science Editors:

Deiman J. Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality. [Masters Thesis]. Universiteit Utrecht; 2016. Available from: http://dspace.library.uu.nl:8080/handle/1874/334268


University of Washington

6. Huang, Tsung-Wei. Automatic Video Analysis for Electronic Monitoring of Fishery Activities.

Degree: PhD, 2019, University of Washington

 Recently, automated imagery analysis techniques have drawn increasing attention in fishery science and industry. Compared to traditional human observing and monitoring, automated imagery analysis techniques… (more)

Subjects/Keywords: object classification; object segmentation; object tracking; Electrical engineering; Electrical engineering

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APA (6th Edition):

Huang, T. (2019). Automatic Video Analysis for Electronic Monitoring of Fishery Activities. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/44796

Chicago Manual of Style (16th Edition):

Huang, Tsung-Wei. “Automatic Video Analysis for Electronic Monitoring of Fishery Activities.” 2019. Doctoral Dissertation, University of Washington. Accessed March 08, 2021. http://hdl.handle.net/1773/44796.

MLA Handbook (7th Edition):

Huang, Tsung-Wei. “Automatic Video Analysis for Electronic Monitoring of Fishery Activities.” 2019. Web. 08 Mar 2021.

Vancouver:

Huang T. Automatic Video Analysis for Electronic Monitoring of Fishery Activities. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1773/44796.

Council of Science Editors:

Huang T. Automatic Video Analysis for Electronic Monitoring of Fishery Activities. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/44796


Delft University of Technology

7. Arya Senna Abdul Rachman, Arya (author). 3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties.

Degree: 2017, Delft University of Technology

The recent advancement of the autonomous vehicle has raised the need for reliable environmental perception. This is evident, as an autonomous vehicle has to perceive… (more)

Subjects/Keywords: Multi-object Tracking; Vehicle Perception; 3D LIDAR; Object detection; Object tracking; Probabilistic Tracking; Autonomous driving; Machine vision; Adaptive Filtering; Heuristic Rules

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APA (6th Edition):

Arya Senna Abdul Rachman, A. (. (2017). 3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f536b829-42ae-41d5-968d-13bbaa4ec736

Chicago Manual of Style (16th Edition):

Arya Senna Abdul Rachman, Arya (author). “3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties.” 2017. Masters Thesis, Delft University of Technology. Accessed March 08, 2021. http://resolver.tudelft.nl/uuid:f536b829-42ae-41d5-968d-13bbaa4ec736.

MLA Handbook (7th Edition):

Arya Senna Abdul Rachman, Arya (author). “3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties.” 2017. Web. 08 Mar 2021.

Vancouver:

Arya Senna Abdul Rachman A(. 3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 08]. Available from: http://resolver.tudelft.nl/uuid:f536b829-42ae-41d5-968d-13bbaa4ec736.

Council of Science Editors:

Arya Senna Abdul Rachman A(. 3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:f536b829-42ae-41d5-968d-13bbaa4ec736


University of Toledo

8. Ahmadi, Kaveh, ahmadi. Dim Object Tracking in Cluttered Image Sequences.

Degree: PhD, Engineering, 2016, University of Toledo

 This research is aimed at developing efficient dim object tracking techniques in cluttered image sequences. In this dissertation, a number of new techniques are presented… (more)

Subjects/Keywords: Computer Engineering; Computer Science; Dim Object Tracking; Particle Filter; Particle Swarm Optimization; Multiple Object Tracking; Multi Sensor Object Tracking; Super Resolution

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

APA (6th Edition):

Ahmadi, Kaveh, a. (2016). Dim Object Tracking in Cluttered Image Sequences. (Doctoral Dissertation). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1470147209

Chicago Manual of Style (16th Edition):

Ahmadi, Kaveh, ahmadi. “Dim Object Tracking in Cluttered Image Sequences.” 2016. Doctoral Dissertation, University of Toledo. Accessed March 08, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1470147209.

MLA Handbook (7th Edition):

Ahmadi, Kaveh, ahmadi. “Dim Object Tracking in Cluttered Image Sequences.” 2016. Web. 08 Mar 2021.

Vancouver:

Ahmadi, Kaveh a. Dim Object Tracking in Cluttered Image Sequences. [Internet] [Doctoral dissertation]. University of Toledo; 2016. [cited 2021 Mar 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1470147209.

Council of Science Editors:

Ahmadi, Kaveh a. Dim Object Tracking in Cluttered Image Sequences. [Doctoral Dissertation]. University of Toledo; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1470147209


NSYSU

9. Hsu, Chiang-Hao. Application of an Omnidirectional Camera to Detection of Moving Objects in 3D Space.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2011, NSYSU

 Conventional cameras are usually small in their field of view (FOV) and make the observable region limited. Applications by such a vision system may also… (more)

Subjects/Keywords: Omnidirectional image; Object tracking; CAMShift; Optical flow

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

APA (6th Edition):

Hsu, C. (2011). Application of an Omnidirectional Camera to Detection of Moving Objects in 3D Space. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829111-231710

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

Chicago Manual of Style (16th Edition):

Hsu, Chiang-Hao. “Application of an Omnidirectional Camera to Detection of Moving Objects in 3D Space.” 2011. Thesis, NSYSU. Accessed March 08, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829111-231710.

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

MLA Handbook (7th Edition):

Hsu, Chiang-Hao. “Application of an Omnidirectional Camera to Detection of Moving Objects in 3D Space.” 2011. Web. 08 Mar 2021.

Vancouver:

Hsu C. Application of an Omnidirectional Camera to Detection of Moving Objects in 3D Space. [Internet] [Thesis]. NSYSU; 2011. [cited 2021 Mar 08]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829111-231710.

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

Council of Science Editors:

Hsu C. Application of an Omnidirectional Camera to Detection of Moving Objects in 3D Space. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829111-231710

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

10. Lopes, Nuno Vieira. Fuzzy logic based approach for object feature tracking.

Degree: 2012, Instituto Politécnico de Leiria

This thesis introduces a novel technique for feature tracking in sequences of greyscale images based on fuzzy logic. A versatile and modular methodology for feature… (more)

Subjects/Keywords: Fuzzy Logic; Object tracking; Lógica difusa

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APA (6th Edition):

Lopes, N. V. (2012). Fuzzy logic based approach for object feature tracking. (Thesis). Instituto Politécnico de Leiria. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/3259

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

Chicago Manual of Style (16th Edition):

Lopes, Nuno Vieira. “Fuzzy logic based approach for object feature tracking.” 2012. Thesis, Instituto Politécnico de Leiria. Accessed March 08, 2021. https://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/3259.

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

MLA Handbook (7th Edition):

Lopes, Nuno Vieira. “Fuzzy logic based approach for object feature tracking.” 2012. Web. 08 Mar 2021.

Vancouver:

Lopes NV. Fuzzy logic based approach for object feature tracking. [Internet] [Thesis]. Instituto Politécnico de Leiria; 2012. [cited 2021 Mar 08]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/3259.

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

Council of Science Editors:

Lopes NV. Fuzzy logic based approach for object feature tracking. [Thesis]. Instituto Politécnico de Leiria; 2012. Available from: https://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/3259

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


University of Ottawa

11. Stolle, Jacob. Experimental Modelling of Debris Dynamics in Tsunami-Like Flow Conditions .

Degree: 2016, University of Ottawa

 Tsunamis are among the most devastating and complex natural disasters, affecting coastal regions worldwide. Tsunami waves are generated through many natural phenomena, such as earthquakes,… (more)

Subjects/Keywords: tsunami; coastal engineering; debris; object tracking

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APA (6th Edition):

Stolle, J. (2016). Experimental Modelling of Debris Dynamics in Tsunami-Like Flow Conditions . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/34959

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

Chicago Manual of Style (16th Edition):

Stolle, Jacob. “Experimental Modelling of Debris Dynamics in Tsunami-Like Flow Conditions .” 2016. Thesis, University of Ottawa. Accessed March 08, 2021. http://hdl.handle.net/10393/34959.

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

MLA Handbook (7th Edition):

Stolle, Jacob. “Experimental Modelling of Debris Dynamics in Tsunami-Like Flow Conditions .” 2016. Web. 08 Mar 2021.

Vancouver:

Stolle J. Experimental Modelling of Debris Dynamics in Tsunami-Like Flow Conditions . [Internet] [Thesis]. University of Ottawa; 2016. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10393/34959.

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

Council of Science Editors:

Stolle J. Experimental Modelling of Debris Dynamics in Tsunami-Like Flow Conditions . [Thesis]. University of Ottawa; 2016. Available from: http://hdl.handle.net/10393/34959

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


University of Melbourne

12. Lapierre, Mark David. Interaction of attention and memory: a working memory model of multiple object tracking.

Degree: 2013, University of Melbourne

 To accurately perceive a dynamic environment, the visual system must create mental representations of specific objects and their place in the environment, must quickly and… (more)

Subjects/Keywords: attention; memory; multiple object tracking; perception; vision

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

APA (6th Edition):

Lapierre, M. D. (2013). Interaction of attention and memory: a working memory model of multiple object tracking. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/39744

Chicago Manual of Style (16th Edition):

Lapierre, Mark David. “Interaction of attention and memory: a working memory model of multiple object tracking.” 2013. Doctoral Dissertation, University of Melbourne. Accessed March 08, 2021. http://hdl.handle.net/11343/39744.

MLA Handbook (7th Edition):

Lapierre, Mark David. “Interaction of attention and memory: a working memory model of multiple object tracking.” 2013. Web. 08 Mar 2021.

Vancouver:

Lapierre MD. Interaction of attention and memory: a working memory model of multiple object tracking. [Internet] [Doctoral dissertation]. University of Melbourne; 2013. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/11343/39744.

Council of Science Editors:

Lapierre MD. Interaction of attention and memory: a working memory model of multiple object tracking. [Doctoral Dissertation]. University of Melbourne; 2013. Available from: http://hdl.handle.net/11343/39744


California State University – Sacramento

13. Wadhwani, Hitesh. A tool for tracking objects through V1KU, a neural network system.

Degree: MS, Computer Science, 2011, California State University – Sacramento

 The intent of this project is to explore the tracking capabilities of V1KU a neural network system. V1KU is a product by General Vision Company… (more)

Subjects/Keywords: Image recognition; Artificial intelligence; Object tracking

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

APA (6th Edition):

Wadhwani, H. (2011). A tool for tracking objects through V1KU, a neural network system. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/924

Chicago Manual of Style (16th Edition):

Wadhwani, Hitesh. “A tool for tracking objects through V1KU, a neural network system.” 2011. Masters Thesis, California State University – Sacramento. Accessed March 08, 2021. http://hdl.handle.net/10211.9/924.

MLA Handbook (7th Edition):

Wadhwani, Hitesh. “A tool for tracking objects through V1KU, a neural network system.” 2011. Web. 08 Mar 2021.

Vancouver:

Wadhwani H. A tool for tracking objects through V1KU, a neural network system. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10211.9/924.

Council of Science Editors:

Wadhwani H. A tool for tracking objects through V1KU, a neural network system. [Masters Thesis]. California State University – Sacramento; 2011. Available from: http://hdl.handle.net/10211.9/924

14. Spruyt, Vincent. Robust and real-time hand detection and tracking in monocular video.

Degree: 2015, Ghent University

 In recent years, personal computing devices such as laptops, tablets and smartphones have become ubiquitous. Moreover, intelligent sensors are being integrated into many consumer devices… (more)

Subjects/Keywords: Technology and Engineering; object detection; hand tracking; Computer Vision; object tracking; particle filtering; hand detection

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

APA (6th Edition):

Spruyt, V. (2015). Robust and real-time hand detection and tracking in monocular video. (Thesis). Ghent University. Retrieved from http://hdl.handle.net/1854/LU-5872175

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

Chicago Manual of Style (16th Edition):

Spruyt, Vincent. “Robust and real-time hand detection and tracking in monocular video.” 2015. Thesis, Ghent University. Accessed March 08, 2021. http://hdl.handle.net/1854/LU-5872175.

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

MLA Handbook (7th Edition):

Spruyt, Vincent. “Robust and real-time hand detection and tracking in monocular video.” 2015. Web. 08 Mar 2021.

Vancouver:

Spruyt V. Robust and real-time hand detection and tracking in monocular video. [Internet] [Thesis]. Ghent University; 2015. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1854/LU-5872175.

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

Council of Science Editors:

Spruyt V. Robust and real-time hand detection and tracking in monocular video. [Thesis]. Ghent University; 2015. Available from: http://hdl.handle.net/1854/LU-5872175

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


Vanderbilt University

15. St.Clair, Rebecca. Through space and time: An examination of motion in multiple object tracking.

Degree: PhD, Psychology, 2012, Vanderbilt University

Object correspondence is the process by which the visual system matches the identities of objects to their locations to form stable percepts. Object correspondence is… (more)

Subjects/Keywords: object correspondence; texture; motion; multiple object tracking; attention

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APA (6th Edition):

St.Clair, R. (2012). Through space and time: An examination of motion in multiple object tracking. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11419

Chicago Manual of Style (16th Edition):

St.Clair, Rebecca. “Through space and time: An examination of motion in multiple object tracking.” 2012. Doctoral Dissertation, Vanderbilt University. Accessed March 08, 2021. http://hdl.handle.net/1803/11419.

MLA Handbook (7th Edition):

St.Clair, Rebecca. “Through space and time: An examination of motion in multiple object tracking.” 2012. Web. 08 Mar 2021.

Vancouver:

St.Clair R. Through space and time: An examination of motion in multiple object tracking. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1803/11419.

Council of Science Editors:

St.Clair R. Through space and time: An examination of motion in multiple object tracking. [Doctoral Dissertation]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/11419


KTH

16. Shilo, Albina. Detection and tracking of unknown objects on the road based on sparse LiDAR data for heavy duty vehicles.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

Environment perception within autonomous driving aims to provide a comprehensive and accurate model of the surrounding environment based on information from sensors. For the… (more)

Subjects/Keywords: Lidar; arbitrary object detection; object tracking; Robotics; Robotteknik och automation

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APA (6th Edition):

Shilo, A. (2018). Detection and tracking of unknown objects on the road based on sparse LiDAR data for heavy duty vehicles. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236083

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

Chicago Manual of Style (16th Edition):

Shilo, Albina. “Detection and tracking of unknown objects on the road based on sparse LiDAR data for heavy duty vehicles.” 2018. Thesis, KTH. Accessed March 08, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236083.

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

MLA Handbook (7th Edition):

Shilo, Albina. “Detection and tracking of unknown objects on the road based on sparse LiDAR data for heavy duty vehicles.” 2018. Web. 08 Mar 2021.

Vancouver:

Shilo A. Detection and tracking of unknown objects on the road based on sparse LiDAR data for heavy duty vehicles. [Internet] [Thesis]. KTH; 2018. [cited 2021 Mar 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236083.

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

Council of Science Editors:

Shilo A. Detection and tracking of unknown objects on the road based on sparse LiDAR data for heavy duty vehicles. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236083

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


Victoria University of Wellington

17. Ajmal, Aisha. Active Shift Attention Based Object Tracking System.

Degree: 2020, Victoria University of Wellington

 The human vision system (HVS) collects a huge amount of information and performs a variety of biological mechanisms to select relevant information. Computational models based… (more)

Subjects/Keywords: Saliency; Object detection; Kalman Filter; Computer Vision; Object Tracking

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APA (6th Edition):

Ajmal, A. (2020). Active Shift Attention Based Object Tracking System. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/9233

Chicago Manual of Style (16th Edition):

Ajmal, Aisha. “Active Shift Attention Based Object Tracking System.” 2020. Masters Thesis, Victoria University of Wellington. Accessed March 08, 2021. http://hdl.handle.net/10063/9233.

MLA Handbook (7th Edition):

Ajmal, Aisha. “Active Shift Attention Based Object Tracking System.” 2020. Web. 08 Mar 2021.

Vancouver:

Ajmal A. Active Shift Attention Based Object Tracking System. [Internet] [Masters thesis]. Victoria University of Wellington; 2020. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10063/9233.

Council of Science Editors:

Ajmal A. Active Shift Attention Based Object Tracking System. [Masters Thesis]. Victoria University of Wellington; 2020. Available from: http://hdl.handle.net/10063/9233


Virginia Tech

18. Nguyen, Chuong Hoang. Features identification and tracking for an autonomous ground vehicle.

Degree: MS, Mechanical Engineering, 2013, Virginia Tech

 This thesis attempts to develop features identification and tracking system for an autonomous ground vehicle by focusing on four fundamental tasks: Motion detection, object tracking,… (more)

Subjects/Keywords: Motion detection; object tracking; scene recognition; object detection

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APA (6th Edition):

Nguyen, C. H. (2013). Features identification and tracking for an autonomous ground vehicle. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/33127

Chicago Manual of Style (16th Edition):

Nguyen, Chuong Hoang. “Features identification and tracking for an autonomous ground vehicle.” 2013. Masters Thesis, Virginia Tech. Accessed March 08, 2021. http://hdl.handle.net/10919/33127.

MLA Handbook (7th Edition):

Nguyen, Chuong Hoang. “Features identification and tracking for an autonomous ground vehicle.” 2013. Web. 08 Mar 2021.

Vancouver:

Nguyen CH. Features identification and tracking for an autonomous ground vehicle. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10919/33127.

Council of Science Editors:

Nguyen CH. Features identification and tracking for an autonomous ground vehicle. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/33127


Texas A&M University

19. Nyman, Tristin. Object Individuation Using Function in Infancy: An Eye-Tracking Study.

Degree: MS, Psychology, 2018, Texas A&M University

 The age at which infants are able to individuate between objects on the basis of the functional category to which it belongs has yet to… (more)

Subjects/Keywords: Infant development; object categorization; object individuation; eye-tracking

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APA (6th Edition):

Nyman, T. (2018). Object Individuation Using Function in Infancy: An Eye-Tracking Study. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174426

Chicago Manual of Style (16th Edition):

Nyman, Tristin. “Object Individuation Using Function in Infancy: An Eye-Tracking Study.” 2018. Masters Thesis, Texas A&M University. Accessed March 08, 2021. http://hdl.handle.net/1969.1/174426.

MLA Handbook (7th Edition):

Nyman, Tristin. “Object Individuation Using Function in Infancy: An Eye-Tracking Study.” 2018. Web. 08 Mar 2021.

Vancouver:

Nyman T. Object Individuation Using Function in Infancy: An Eye-Tracking Study. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1969.1/174426.

Council of Science Editors:

Nyman T. Object Individuation Using Function in Infancy: An Eye-Tracking Study. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174426


Rochester Institute of Technology

20. Li, Feng. Optimizations and applications in head-mounted video-based eye tracking.

Degree: Chester F. Carlson Center for Imaging Science (COS), 2011, Rochester Institute of Technology

 Video-based eye tracking techniques have become increasingly attractive in many research fields, such as visual perception and human-computer interface design. The technique primarily relies on… (more)

Subjects/Keywords: Eye tracker; Eye tracking; Feature detection; Object tracking; Smooth pursuit

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APA (6th Edition):

Li, F. (2011). Optimizations and applications in head-mounted video-based eye tracking. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/2939

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

Chicago Manual of Style (16th Edition):

Li, Feng. “Optimizations and applications in head-mounted video-based eye tracking.” 2011. Thesis, Rochester Institute of Technology. Accessed March 08, 2021. https://scholarworks.rit.edu/theses/2939.

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

MLA Handbook (7th Edition):

Li, Feng. “Optimizations and applications in head-mounted video-based eye tracking.” 2011. Web. 08 Mar 2021.

Vancouver:

Li F. Optimizations and applications in head-mounted video-based eye tracking. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2021 Mar 08]. Available from: https://scholarworks.rit.edu/theses/2939.

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

Council of Science Editors:

Li F. Optimizations and applications in head-mounted video-based eye tracking. [Thesis]. Rochester Institute of Technology; 2011. Available from: https://scholarworks.rit.edu/theses/2939

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

21. De Ath, G. Object tracking in video with part-based tracking by feature sampling.

Degree: PhD, 2019, University of Exeter

 Visual tracking of arbitrary objects is an active research topic in computer vision, with applications across multiple disciplines including video surveillance, activity analysis, robot vision,… (more)

Subjects/Keywords: 004; Object Tracking; Computer Vision; Segmentation; Initialisation; Single-Target Tracking

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

APA (6th Edition):

De Ath, G. (2019). Object tracking in video with part-based tracking by feature sampling. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10871/38781

Chicago Manual of Style (16th Edition):

De Ath, G. “Object tracking in video with part-based tracking by feature sampling.” 2019. Doctoral Dissertation, University of Exeter. Accessed March 08, 2021. http://hdl.handle.net/10871/38781.

MLA Handbook (7th Edition):

De Ath, G. “Object tracking in video with part-based tracking by feature sampling.” 2019. Web. 08 Mar 2021.

Vancouver:

De Ath G. Object tracking in video with part-based tracking by feature sampling. [Internet] [Doctoral dissertation]. University of Exeter; 2019. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10871/38781.

Council of Science Editors:

De Ath G. Object tracking in video with part-based tracking by feature sampling. [Doctoral Dissertation]. University of Exeter; 2019. Available from: http://hdl.handle.net/10871/38781


Universidade Nova

22. Silva, João Miguel Ferreira da. People and object tracking for video annotation.

Degree: 2012, Universidade Nova

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Object tracking is a thoroughly researched problem, with a body of associated literature dating at… (more)

Subjects/Keywords: Multimedia; People tracking; Object tracking; Video; Video annotation; Computer vision

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APA (6th Edition):

Silva, J. M. F. d. (2012). People and object tracking for video annotation. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/8953

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

Chicago Manual of Style (16th Edition):

Silva, João Miguel Ferreira da. “People and object tracking for video annotation.” 2012. Thesis, Universidade Nova. Accessed March 08, 2021. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/8953.

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

MLA Handbook (7th Edition):

Silva, João Miguel Ferreira da. “People and object tracking for video annotation.” 2012. Web. 08 Mar 2021.

Vancouver:

Silva JMFd. People and object tracking for video annotation. [Internet] [Thesis]. Universidade Nova; 2012. [cited 2021 Mar 08]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/8953.

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

Council of Science Editors:

Silva JMFd. People and object tracking for video annotation. [Thesis]. Universidade Nova; 2012. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/8953

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


University of Western Ontario

23. Ramin, Marjan. Improvements to Tracking Pedestrians in Video Streams Using a Pre-trained Convolutional Neural Network.

Degree: 2016, University of Western Ontario

 Safety has been a very crucial aspect in our lives and much attention has been paid to this issue since we need to remain safe… (more)

Subjects/Keywords: Multiple Pedestrian Tracking; Deep Learning; Object Tracking; Computer Engineering

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APA (6th Edition):

Ramin, M. (2016). Improvements to Tracking Pedestrians in Video Streams Using a Pre-trained Convolutional Neural Network. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/3886

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

Chicago Manual of Style (16th Edition):

Ramin, Marjan. “Improvements to Tracking Pedestrians in Video Streams Using a Pre-trained Convolutional Neural Network.” 2016. Thesis, University of Western Ontario. Accessed March 08, 2021. https://ir.lib.uwo.ca/etd/3886.

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

MLA Handbook (7th Edition):

Ramin, Marjan. “Improvements to Tracking Pedestrians in Video Streams Using a Pre-trained Convolutional Neural Network.” 2016. Web. 08 Mar 2021.

Vancouver:

Ramin M. Improvements to Tracking Pedestrians in Video Streams Using a Pre-trained Convolutional Neural Network. [Internet] [Thesis]. University of Western Ontario; 2016. [cited 2021 Mar 08]. Available from: https://ir.lib.uwo.ca/etd/3886.

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

Council of Science Editors:

Ramin M. Improvements to Tracking Pedestrians in Video Streams Using a Pre-trained Convolutional Neural Network. [Thesis]. University of Western Ontario; 2016. Available from: https://ir.lib.uwo.ca/etd/3886

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


York University

24. Chen, Bao Xin. Real-Time Online Human Tracking with a Stereo Camera for Person-Following Robots.

Degree: MSc -MS, Computer Science, 2020, York University

 Person-Following Robots have been studied for multiple decades now. Recently, person-following robots have relied on various sensors (e.g., radar, infrared, laser, ultrasonic, etc). However, these… (more)

Subjects/Keywords: Robotics; Person-following robots; Human following; Human tracking; Object tracking

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APA (6th Edition):

Chen, B. X. (2020). Real-Time Online Human Tracking with a Stereo Camera for Person-Following Robots. (Masters Thesis). York University. Retrieved from https://yorkspace.library.yorku.ca/xmlui/handle/10315/37376

Chicago Manual of Style (16th Edition):

Chen, Bao Xin. “Real-Time Online Human Tracking with a Stereo Camera for Person-Following Robots.” 2020. Masters Thesis, York University. Accessed March 08, 2021. https://yorkspace.library.yorku.ca/xmlui/handle/10315/37376.

MLA Handbook (7th Edition):

Chen, Bao Xin. “Real-Time Online Human Tracking with a Stereo Camera for Person-Following Robots.” 2020. Web. 08 Mar 2021.

Vancouver:

Chen BX. Real-Time Online Human Tracking with a Stereo Camera for Person-Following Robots. [Internet] [Masters thesis]. York University; 2020. [cited 2021 Mar 08]. Available from: https://yorkspace.library.yorku.ca/xmlui/handle/10315/37376.

Council of Science Editors:

Chen BX. Real-Time Online Human Tracking with a Stereo Camera for Person-Following Robots. [Masters Thesis]. York University; 2020. Available from: https://yorkspace.library.yorku.ca/xmlui/handle/10315/37376


King Abdullah University of Science and Technology

25. Mueller, Matthias. Persistent Aerial Tracking.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2016, King Abdullah University of Science and Technology

 In this thesis, we propose a new aerial video dataset and benchmark for low altitude UAV target tracking, as well as, a photo-realistic UAV simulator… (more)

Subjects/Keywords: object tracking; Aerial tracking; UAV; surveillance; Benchmark; Simulator

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APA (6th Edition):

Mueller, M. (2016). Persistent Aerial Tracking. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/608605

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

Chicago Manual of Style (16th Edition):

Mueller, Matthias. “Persistent Aerial Tracking.” 2016. Thesis, King Abdullah University of Science and Technology. Accessed March 08, 2021. http://hdl.handle.net/10754/608605.

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

MLA Handbook (7th Edition):

Mueller, Matthias. “Persistent Aerial Tracking.” 2016. Web. 08 Mar 2021.

Vancouver:

Mueller M. Persistent Aerial Tracking. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2016. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10754/608605.

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

Council of Science Editors:

Mueller M. Persistent Aerial Tracking. [Thesis]. King Abdullah University of Science and Technology; 2016. Available from: http://hdl.handle.net/10754/608605

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

26. Ambardekar, Amol. Vehicle Classification Framework: Online Classification with Tracking.

Degree: 2012, University of Nevada – Reno

 Video surveillance has significant application prospects such as security, law enforcement, and traffic monitoring. Visual traffic surveillance using computer vision techniques can be non-invasive, cost… (more)

Subjects/Keywords: Computer Vision; Object Classification; Object Recognition; Object Tracking; Traffic Surveillance; Video Surveillance

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APA (6th Edition):

Ambardekar, A. (2012). Vehicle Classification Framework: Online Classification with Tracking. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/3546

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

Chicago Manual of Style (16th Edition):

Ambardekar, Amol. “Vehicle Classification Framework: Online Classification with Tracking.” 2012. Thesis, University of Nevada – Reno. Accessed March 08, 2021. http://hdl.handle.net/11714/3546.

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

MLA Handbook (7th Edition):

Ambardekar, Amol. “Vehicle Classification Framework: Online Classification with Tracking.” 2012. Web. 08 Mar 2021.

Vancouver:

Ambardekar A. Vehicle Classification Framework: Online Classification with Tracking. [Internet] [Thesis]. University of Nevada – Reno; 2012. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/11714/3546.

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

Council of Science Editors:

Ambardekar A. Vehicle Classification Framework: Online Classification with Tracking. [Thesis]. University of Nevada – Reno; 2012. Available from: http://hdl.handle.net/11714/3546

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


Clemson University

27. Hunde, Andinet Negash. Multi Sensor Multi Target Perception and Tracking for Informed Decisions in Public Road Scenarios.

Degree: PhD, Automotive Engineering, 2020, Clemson University

  Multi-target tracking in public traffic calls for a tracking system with automated track initiation and termination facilities in a randomly evolving driving environment. Besides,… (more)

Subjects/Keywords: Autonomous Perception and Tracking; Camera and Radar Sensor Fusion; Extended Object Tracking; Group Target Tracking; Multi-Target Tracking; Public Traffic

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APA (6th Edition):

Hunde, A. N. (2020). Multi Sensor Multi Target Perception and Tracking for Informed Decisions in Public Road Scenarios. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2692

Chicago Manual of Style (16th Edition):

Hunde, Andinet Negash. “Multi Sensor Multi Target Perception and Tracking for Informed Decisions in Public Road Scenarios.” 2020. Doctoral Dissertation, Clemson University. Accessed March 08, 2021. https://tigerprints.clemson.edu/all_dissertations/2692.

MLA Handbook (7th Edition):

Hunde, Andinet Negash. “Multi Sensor Multi Target Perception and Tracking for Informed Decisions in Public Road Scenarios.” 2020. Web. 08 Mar 2021.

Vancouver:

Hunde AN. Multi Sensor Multi Target Perception and Tracking for Informed Decisions in Public Road Scenarios. [Internet] [Doctoral dissertation]. Clemson University; 2020. [cited 2021 Mar 08]. Available from: https://tigerprints.clemson.edu/all_dissertations/2692.

Council of Science Editors:

Hunde AN. Multi Sensor Multi Target Perception and Tracking for Informed Decisions in Public Road Scenarios. [Doctoral Dissertation]. Clemson University; 2020. Available from: https://tigerprints.clemson.edu/all_dissertations/2692

28. Shanmuga Vadivel, Karthikeyan. Modeling Eye Tracking Data with Application to Object Detection.

Degree: 2014, University of California – eScholarship, University of California

 This research focuses on enhancing computer vision algorithms using eye tracking and visual saliency. Recent advances in eye tracking device technology have enabled large scale… (more)

Subjects/Keywords: Engineering; Electrical engineering; Computer science; Eye Tracking; Multiple Object Tracking; Object Detection; Text Detection; Visual Saliency

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APA (6th Edition):

Shanmuga Vadivel, K. (2014). Modeling Eye Tracking Data with Application to Object Detection. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/556687hq

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

Chicago Manual of Style (16th Edition):

Shanmuga Vadivel, Karthikeyan. “Modeling Eye Tracking Data with Application to Object Detection.” 2014. Thesis, University of California – eScholarship, University of California. Accessed March 08, 2021. http://www.escholarship.org/uc/item/556687hq.

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

MLA Handbook (7th Edition):

Shanmuga Vadivel, Karthikeyan. “Modeling Eye Tracking Data with Application to Object Detection.” 2014. Web. 08 Mar 2021.

Vancouver:

Shanmuga Vadivel K. Modeling Eye Tracking Data with Application to Object Detection. [Internet] [Thesis]. University of California – eScholarship, University of California; 2014. [cited 2021 Mar 08]. Available from: http://www.escholarship.org/uc/item/556687hq.

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

Council of Science Editors:

Shanmuga Vadivel K. Modeling Eye Tracking Data with Application to Object Detection. [Thesis]. University of California – eScholarship, University of California; 2014. Available from: http://www.escholarship.org/uc/item/556687hq

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


UCLA

29. Taylor, Brian. Leveraging Occlusion Cues for Causal Video Object Segmentation.

Degree: Computer Science, 2016, UCLA

 This thesis describes a framework leveraging occlusions as a cue for detecting objects and accurately localizing their boundaries throughout the course of a video. Triggered… (more)

Subjects/Keywords: Computer science; depth layer segmentation; object tracking; occlusions; video object segmentation; video segmentation

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APA (6th Edition):

Taylor, B. (2016). Leveraging Occlusion Cues for Causal Video Object Segmentation. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/3xz0z5k9

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

Chicago Manual of Style (16th Edition):

Taylor, Brian. “Leveraging Occlusion Cues for Causal Video Object Segmentation.” 2016. Thesis, UCLA. Accessed March 08, 2021. http://www.escholarship.org/uc/item/3xz0z5k9.

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

MLA Handbook (7th Edition):

Taylor, Brian. “Leveraging Occlusion Cues for Causal Video Object Segmentation.” 2016. Web. 08 Mar 2021.

Vancouver:

Taylor B. Leveraging Occlusion Cues for Causal Video Object Segmentation. [Internet] [Thesis]. UCLA; 2016. [cited 2021 Mar 08]. Available from: http://www.escholarship.org/uc/item/3xz0z5k9.

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

Council of Science Editors:

Taylor B. Leveraging Occlusion Cues for Causal Video Object Segmentation. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/3xz0z5k9

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

30. Budi, Sugandi. Study on Object Tracking Under Outdoor Environments Using Video Cameras : ビデオカメラを用いた屋外環境下での物体追跡に関する研究.

Degree: 博士(工学), 2017, Kyushu Institute of Technology / 九州工業大学

 In this thesis, we investigated the development of the object tracking system including object detection, object tracking and object identification/recognition and related issues. We explored… (more)

Subjects/Keywords: Object tracking; PISC image; Particle filter; Color feature; Object occlusion; Multi-camera

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APA (6th Edition):

Budi, S. (2017). Study on Object Tracking Under Outdoor Environments Using Video Cameras : ビデオカメラを用いた屋外環境下での物体追跡に関する研究. (Thesis). Kyushu Institute of Technology / 九州工業大学. Retrieved from http://hdl.handle.net/10228/4886

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

Chicago Manual of Style (16th Edition):

Budi, Sugandi. “Study on Object Tracking Under Outdoor Environments Using Video Cameras : ビデオカメラを用いた屋外環境下での物体追跡に関する研究.” 2017. Thesis, Kyushu Institute of Technology / 九州工業大学. Accessed March 08, 2021. http://hdl.handle.net/10228/4886.

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

MLA Handbook (7th Edition):

Budi, Sugandi. “Study on Object Tracking Under Outdoor Environments Using Video Cameras : ビデオカメラを用いた屋外環境下での物体追跡に関する研究.” 2017. Web. 08 Mar 2021.

Vancouver:

Budi S. Study on Object Tracking Under Outdoor Environments Using Video Cameras : ビデオカメラを用いた屋外環境下での物体追跡に関する研究. [Internet] [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/10228/4886.

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

Council of Science Editors:

Budi S. Study on Object Tracking Under Outdoor Environments Using Video Cameras : ビデオカメラを用いた屋外環境下での物体追跡に関する研究. [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. Available from: http://hdl.handle.net/10228/4886

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

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