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You searched for subject:(Object tracking). Showing records 1 – 30 of 346 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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

Nyström A. Evaluation of Multiple Object Tracking in Surveillance Video. [Internet] [Thesis]. Linköping University; 2019. [cited 2019 Dec 09]. 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


Rochester Institute of Technology

2. Buck, Ashley. Multiple Identity Tracking and Motion Extrapolation.

Degree: MS, Psychology (CLA), 2019, Rochester Institute of Technology

  Multiple Identity Tracking (MIT) is a paradigm in which individuals track the location and identity of moving objects in the environment. The first goal… (more)

Subjects/Keywords: Motion extrapolation; Multiple identity tracking; Multiple object tracking; Object displacement; Object tracking

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APA (6th Edition):

Buck, A. (2019). Multiple Identity Tracking and Motion Extrapolation. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10145

Chicago Manual of Style (16th Edition):

Buck, Ashley. “Multiple Identity Tracking and Motion Extrapolation.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed December 09, 2019. https://scholarworks.rit.edu/theses/10145.

MLA Handbook (7th Edition):

Buck, Ashley. “Multiple Identity Tracking and Motion Extrapolation.” 2019. Web. 09 Dec 2019.

Vancouver:

Buck A. Multiple Identity Tracking and Motion Extrapolation. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2019 Dec 09]. Available from: https://scholarworks.rit.edu/theses/10145.

Council of Science Editors:

Buck A. Multiple Identity Tracking and Motion Extrapolation. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10145


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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

Zhu G. An Exploration into Model-Free Online Visual Object Tracking . [Internet] [Thesis]. Australian National University; 2016. [cited 2019 Dec 09]. 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 Southern California

4. Dinh, Thang Ba. Persistent object tracking in unconstrained environments.

Degree: PhD, Computer Science, 2011, University of Southern California

 Visual tracking has been an active and fruitful topic in computer vision these days since it is a very important component for a wide range… (more)

Subjects/Keywords: object tracking; visual tracking; object detection; PTZ tracking; pan-tilt-zoom camera; face tracking; real-time tracking; surveillance; active tracking

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APA (6th Edition):

Dinh, T. B. (2011). Persistent object tracking in unconstrained environments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/673435/rec/5000

Chicago Manual of Style (16th Edition):

Dinh, Thang Ba. “Persistent object tracking in unconstrained environments.” 2011. Doctoral Dissertation, University of Southern California. Accessed December 09, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/673435/rec/5000.

MLA Handbook (7th Edition):

Dinh, Thang Ba. “Persistent object tracking in unconstrained environments.” 2011. Web. 09 Dec 2019.

Vancouver:

Dinh TB. Persistent object tracking in unconstrained environments. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Dec 09]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/673435/rec/5000.

Council of Science Editors:

Dinh TB. Persistent object tracking in unconstrained environments. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/673435/rec/5000


Queens University

5. Bentley, Ian. Track Persistence in Wireless Sensor Networks .

Degree: Computing, 2010, Queens University

 In this thesis we directly consider an object tracking problem for wireless sensor networks (WSNs), called track persistence. Track persistence temporally extends the problem of… (more)

Subjects/Keywords: WSN; Wireless Sensor Networks; Target Tracking; Object Tracking; Track Persistence; Single object tracking; Track; Persistence

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APA (6th Edition):

Bentley, I. (2010). Track Persistence in Wireless Sensor Networks . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/6033

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):

Bentley, Ian. “Track Persistence in Wireless Sensor Networks .” 2010. Thesis, Queens University. Accessed December 09, 2019. http://hdl.handle.net/1974/6033.

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

MLA Handbook (7th Edition):

Bentley, Ian. “Track Persistence in Wireless Sensor Networks .” 2010. Web. 09 Dec 2019.

Vancouver:

Bentley I. Track Persistence in Wireless Sensor Networks . [Internet] [Thesis]. Queens University; 2010. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/1974/6033.

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

Council of Science Editors:

Bentley I. Track Persistence in Wireless Sensor Networks . [Thesis]. Queens University; 2010. Available from: http://hdl.handle.net/1974/6033

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


Universiteit Utrecht

6. 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 December 09, 2019. 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. 09 Dec 2019.

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 2019 Dec 09]. 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

7. 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 December 09, 2019. http://hdl.handle.net/1773/44796.

MLA Handbook (7th Edition):

Huang, Tsung-Wei. “Automatic Video Analysis for Electronic Monitoring of Fishery Activities.” 2019. Web. 09 Dec 2019.

Vancouver:

Huang T. Automatic Video Analysis for Electronic Monitoring of Fishery Activities. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2019 Dec 09]. 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


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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

Ahmadi, Kaveh a. Dim Object Tracking in Cluttered Image Sequences. [Internet] [Doctoral dissertation]. University of Toledo; 2016. [cited 2019 Dec 09]. 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

9. 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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

Lopes NV. Fuzzy logic based approach for object feature tracking. [Internet] [Thesis]. Instituto Politécnico de Leiria; 2012. [cited 2019 Dec 09]. 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


California State University – Sacramento

10. 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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

Wadhwani H. A tool for tracking objects through V1KU, a neural network system. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2019 Dec 09]. 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


NSYSU

11. 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 (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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

Hsu C. Application of an Omnidirectional Camera to Detection of Moving Objects in 3D Space. [Internet] [Thesis]. NSYSU; 2011. [cited 2019 Dec 09]. 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


King Abdullah University of Science and Technology

12. Alharbi, Yazeed. Marker Detection in Aerial Images.

Degree: 2017, King Abdullah University of Science and Technology

 The problem that the thesis is trying to solve is the detection of small markers in high-resolution aerial images. Given a high-resolution image, the goal… (more)

Subjects/Keywords: vision; computer; detection; tracking; object; description

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APA (6th Edition):

Alharbi, Y. (2017). Marker Detection in Aerial Images. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/623123

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):

Alharbi, Yazeed. “Marker Detection in Aerial Images.” 2017. Thesis, King Abdullah University of Science and Technology. Accessed December 09, 2019. http://hdl.handle.net/10754/623123.

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

MLA Handbook (7th Edition):

Alharbi, Yazeed. “Marker Detection in Aerial Images.” 2017. Web. 09 Dec 2019.

Vancouver:

Alharbi Y. Marker Detection in Aerial Images. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2017. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/10754/623123.

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

Council of Science Editors:

Alharbi Y. Marker Detection in Aerial Images. [Thesis]. King Abdullah University of Science and Technology; 2017. Available from: http://hdl.handle.net/10754/623123

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


Cornell University

13. Wyffels, Kevin. Precision Tracking Of Extended Objects Via Non-Traditional Sensor Models .

Degree: 2016, Cornell University

 Inspired by human perception, novel research into the sub-domain of robotic perception, known as extended object tracking, is presented. This research is motivated by the… (more)

Subjects/Keywords: Autonomous Vehicles; Extended Object Tracking; Probabilistic Inference

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APA (6th Edition):

Wyffels, K. (2016). Precision Tracking Of Extended Objects Via Non-Traditional Sensor Models . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/43659

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):

Wyffels, Kevin. “Precision Tracking Of Extended Objects Via Non-Traditional Sensor Models .” 2016. Thesis, Cornell University. Accessed December 09, 2019. http://hdl.handle.net/1813/43659.

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

MLA Handbook (7th Edition):

Wyffels, Kevin. “Precision Tracking Of Extended Objects Via Non-Traditional Sensor Models .” 2016. Web. 09 Dec 2019.

Vancouver:

Wyffels K. Precision Tracking Of Extended Objects Via Non-Traditional Sensor Models . [Internet] [Thesis]. Cornell University; 2016. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/1813/43659.

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

Council of Science Editors:

Wyffels K. Precision Tracking Of Extended Objects Via Non-Traditional Sensor Models . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/43659

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


University of Ottawa

14. 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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

Stolle J. Experimental Modelling of Debris Dynamics in Tsunami-Like Flow Conditions . [Internet] [Thesis]. University of Ottawa; 2016. [cited 2019 Dec 09]. 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


Rochester Institute of Technology

15. Case, Isaac. Automatic object detection and tracking in video.

Degree: Computer Science (GCCIS), 2010, Rochester Institute of Technology

 One ability of the human visual system is the ability to identify and track moving objects. Examples of this can easily be seen in any… (more)

Subjects/Keywords: Computer vision; Motion tracking; Object detection

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APA (6th Edition):

Case, I. (2010). Automatic object detection and tracking in video. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/244

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):

Case, Isaac. “Automatic object detection and tracking in video.” 2010. Thesis, Rochester Institute of Technology. Accessed December 09, 2019. https://scholarworks.rit.edu/theses/244.

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

MLA Handbook (7th Edition):

Case, Isaac. “Automatic object detection and tracking in video.” 2010. Web. 09 Dec 2019.

Vancouver:

Case I. Automatic object detection and tracking in video. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2019 Dec 09]. Available from: https://scholarworks.rit.edu/theses/244.

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

Council of Science Editors:

Case I. Automatic object detection and tracking in video. [Thesis]. Rochester Institute of Technology; 2010. Available from: https://scholarworks.rit.edu/theses/244

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

16. 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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

Spruyt V. Robust and real-time hand detection and tracking in monocular video. [Internet] [Thesis]. Ghent University; 2015. [cited 2019 Dec 09]. 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


Virginia Tech

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

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 December 09, 2019. http://hdl.handle.net/10919/33127.

MLA Handbook (7th Edition):

Nguyen, Chuong Hoang. “Features identification and tracking for an autonomous ground vehicle.” 2013. Web. 09 Dec 2019.

Vancouver:

Nguyen CH. Features identification and tracking for an autonomous ground vehicle. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2019 Dec 09]. 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


KTH

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

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 December 09, 2019. 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. 09 Dec 2019.

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 2019 Dec 09]. 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


Georgia Tech

19. Sridhar, Sandhya. Computer vision for driver assistance systems.

Degree: MS, Electrical and Computer Engineering, 2018, Georgia Tech

 The objective of the proposed thesis is to illustrate the training, validation and evaluation of vehicle detection algorithms using computer vision and deep learning methods,… (more)

Subjects/Keywords: Computer vision; Deep learning; Autonomous driving; Object tracking; Object detection

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

APA (6th Edition):

Sridhar, S. (2018). Computer vision for driver assistance systems. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59938

Chicago Manual of Style (16th Edition):

Sridhar, Sandhya. “Computer vision for driver assistance systems.” 2018. Masters Thesis, Georgia Tech. Accessed December 09, 2019. http://hdl.handle.net/1853/59938.

MLA Handbook (7th Edition):

Sridhar, Sandhya. “Computer vision for driver assistance systems.” 2018. Web. 09 Dec 2019.

Vancouver:

Sridhar S. Computer vision for driver assistance systems. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/1853/59938.

Council of Science Editors:

Sridhar S. Computer vision for driver assistance systems. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59938


Vanderbilt University

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

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://etd.library.vanderbilt.edu//available/etd-03262012-153131/ ;

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 December 09, 2019. http://etd.library.vanderbilt.edu//available/etd-03262012-153131/ ;.

MLA Handbook (7th Edition):

St.Clair, Rebecca. “Through space and time: An examination of motion in multiple object tracking.” 2012. Web. 09 Dec 2019.

Vancouver:

St.Clair R. Through space and time: An examination of motion in multiple object tracking. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2019 Dec 09]. Available from: http://etd.library.vanderbilt.edu//available/etd-03262012-153131/ ;.

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://etd.library.vanderbilt.edu//available/etd-03262012-153131/ ;


KTH

21. Murray, Samuel. Real-Time Multiple Object Tracking : A Study on the Importance of Speed.

Degree: Computer Science and Communication (CSC), 2017, KTH

Multiple object tracking consists of detecting and identifying objects in video. In some applications, such as robotics and surveillance, it is desired that the… (more)

Subjects/Keywords: multiple object tracking; tracking-by-detection; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Murray, S. (2017). Real-Time Multiple Object Tracking : A Study on the Importance of Speed. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215117

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):

Murray, Samuel. “Real-Time Multiple Object Tracking : A Study on the Importance of Speed.” 2017. Thesis, KTH. Accessed December 09, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215117.

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

MLA Handbook (7th Edition):

Murray, Samuel. “Real-Time Multiple Object Tracking : A Study on the Importance of Speed.” 2017. Web. 09 Dec 2019.

Vancouver:

Murray S. Real-Time Multiple Object Tracking : A Study on the Importance of Speed. [Internet] [Thesis]. KTH; 2017. [cited 2019 Dec 09]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215117.

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

Council of Science Editors:

Murray S. Real-Time Multiple Object Tracking : A Study on the Importance of Speed. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215117

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


University of Western Ontario

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

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 December 09, 2019. 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. 09 Dec 2019.

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 2019 Dec 09]. 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


Universidade Nova

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

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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

Silva JMFd. People and object tracking for video annotation. [Internet] [Thesis]. Universidade Nova; 2012. [cited 2019 Dec 09]. 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


King Abdullah University of Science and Technology

24. Mueller, Matthias. Persistent Aerial Tracking.

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

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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

Mueller M. Persistent Aerial Tracking. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2016. [cited 2019 Dec 09]. 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


Rochester Institute of Technology

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

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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

Li F. Optimizations and applications in head-mounted video-based eye tracking. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2019 Dec 09]. 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


University of Exeter

26. 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: 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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

De Ath G. Object tracking in video with part-based tracking by feature sampling. [Internet] [Doctoral dissertation]. University of Exeter; 2019. [cited 2019 Dec 09]. 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

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

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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

Shanmuga Vadivel K. Modeling Eye Tracking Data with Application to Object Detection. [Internet] [Thesis]. University of California – eScholarship, University of California; 2014. [cited 2019 Dec 09]. 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


NSYSU

28. Liu, Jia-Ying. Real-time Face Recognition System with Self-learning.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

 Face recognition has matured over the recent years, it is widely used in access control system, immigration control system even lecture attendance system. Traditional face… (more)

Subjects/Keywords: Face recognition; Face detection; Skin color detection; Moving object detection; Object tracking

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

APA (6th Edition):

Liu, J. (2017). Real-time Face Recognition System with Self-learning. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0426117-093435

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):

Liu, Jia-Ying. “Real-time Face Recognition System with Self-learning.” 2017. Thesis, NSYSU. Accessed December 09, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0426117-093435.

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

MLA Handbook (7th Edition):

Liu, Jia-Ying. “Real-time Face Recognition System with Self-learning.” 2017. Web. 09 Dec 2019.

Vancouver:

Liu J. Real-time Face Recognition System with Self-learning. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Dec 09]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0426117-093435.

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

Council of Science Editors:

Liu J. Real-time Face Recognition System with Self-learning. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0426117-093435

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


University of Colorado

29. Cox, Rebecca E. Merging Local and Global 3d Perception for Robotic Grasping and Manipulation.

Degree: MS, Electrical, Computer & Energy Engineering, 2017, University of Colorado

 This paper presents our results towards fusing RGB-D images with data from contact and proximity sensors embedded in a robotic hand for improved object perception,… (more)

Subjects/Keywords: robotics; object perception; optics; sensor calibration; object tracking; contact detection; Computer Engineering; Robotics

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

APA (6th Edition):

Cox, R. E. (2017). Merging Local and Global 3d Perception for Robotic Grasping and Manipulation. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/ecen_gradetds/148

Chicago Manual of Style (16th Edition):

Cox, Rebecca E. “Merging Local and Global 3d Perception for Robotic Grasping and Manipulation.” 2017. Masters Thesis, University of Colorado. Accessed December 09, 2019. https://scholar.colorado.edu/ecen_gradetds/148.

MLA Handbook (7th Edition):

Cox, Rebecca E. “Merging Local and Global 3d Perception for Robotic Grasping and Manipulation.” 2017. Web. 09 Dec 2019.

Vancouver:

Cox RE. Merging Local and Global 3d Perception for Robotic Grasping and Manipulation. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2019 Dec 09]. Available from: https://scholar.colorado.edu/ecen_gradetds/148.

Council of Science Editors:

Cox RE. Merging Local and Global 3d Perception for Robotic Grasping and Manipulation. [Masters Thesis]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/ecen_gradetds/148


Louisiana State University

30. Erdman, Justin Lee. SeaVipers - Computer Vision and Inertial Position Reference Sensor System (CVIPRSS).

Degree: PhD, Computer Sciences, 2015, Louisiana State University

 This work describes the design and development of an optical, Computer Vision (CV) based sensor for use as a Position Reference System (PRS) in Dynamic… (more)

Subjects/Keywords: TLD; machine learning; object detection; computer vision; dynamic positioning; position reference system; object tracking

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APA (6th Edition):

Erdman, J. L. (2015). SeaVipers - Computer Vision and Inertial Position Reference Sensor System (CVIPRSS). (Doctoral Dissertation). Louisiana State University. Retrieved from etd-06012015-195140 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1208

Chicago Manual of Style (16th Edition):

Erdman, Justin Lee. “SeaVipers - Computer Vision and Inertial Position Reference Sensor System (CVIPRSS).” 2015. Doctoral Dissertation, Louisiana State University. Accessed December 09, 2019. etd-06012015-195140 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1208.

MLA Handbook (7th Edition):

Erdman, Justin Lee. “SeaVipers - Computer Vision and Inertial Position Reference Sensor System (CVIPRSS).” 2015. Web. 09 Dec 2019.

Vancouver:

Erdman JL. SeaVipers - Computer Vision and Inertial Position Reference Sensor System (CVIPRSS). [Internet] [Doctoral dissertation]. Louisiana State University; 2015. [cited 2019 Dec 09]. Available from: etd-06012015-195140 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1208.

Council of Science Editors:

Erdman JL. SeaVipers - Computer Vision and Inertial Position Reference Sensor System (CVIPRSS). [Doctoral Dissertation]. Louisiana State University; 2015. Available from: etd-06012015-195140 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1208

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