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You searched for subject:(Multi Target Tracking). Showing records 1 – 30 of 58 total matches.

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Victoria University of Wellington

1. Hernandez, Sergio I. State Estimation and Smoothing for the Probability Hypothesis Density Filter.

Degree: 2010, Victoria University of Wellington

Tracking multiple objects is a challenging problem for an automated system, with applications in many domains. Typically the system must be able to represent the… (more)

Subjects/Keywords: Point process; Multi-target tracking

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APA (6th Edition):

Hernandez, S. I. (2010). State Estimation and Smoothing for the Probability Hypothesis Density Filter. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/1543

Chicago Manual of Style (16th Edition):

Hernandez, Sergio I. “State Estimation and Smoothing for the Probability Hypothesis Density Filter.” 2010. Doctoral Dissertation, Victoria University of Wellington. Accessed January 28, 2021. http://hdl.handle.net/10063/1543.

MLA Handbook (7th Edition):

Hernandez, Sergio I. “State Estimation and Smoothing for the Probability Hypothesis Density Filter.” 2010. Web. 28 Jan 2021.

Vancouver:

Hernandez SI. State Estimation and Smoothing for the Probability Hypothesis Density Filter. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2010. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10063/1543.

Council of Science Editors:

Hernandez SI. State Estimation and Smoothing for the Probability Hypothesis Density Filter. [Doctoral Dissertation]. Victoria University of Wellington; 2010. Available from: http://hdl.handle.net/10063/1543


McMaster University

2. Heidarpour, Mehrnoosh. EXTENDED TARGET TRACKING METHODS IN MODERN SENSOR APPLICATIONS.

Degree: PhD, 2020, McMaster University

With the recent advances in sensor technology and resulting sensor resolution, conven- tional point-based target tracking algorithms are becoming insufficient, particularly in application domains such… (more)

Subjects/Keywords: Sensor; Multi-target tracking; Extended target

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APA (6th Edition):

Heidarpour, M. (2020). EXTENDED TARGET TRACKING METHODS IN MODERN SENSOR APPLICATIONS. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/25713

Chicago Manual of Style (16th Edition):

Heidarpour, Mehrnoosh. “EXTENDED TARGET TRACKING METHODS IN MODERN SENSOR APPLICATIONS.” 2020. Doctoral Dissertation, McMaster University. Accessed January 28, 2021. http://hdl.handle.net/11375/25713.

MLA Handbook (7th Edition):

Heidarpour, Mehrnoosh. “EXTENDED TARGET TRACKING METHODS IN MODERN SENSOR APPLICATIONS.” 2020. Web. 28 Jan 2021.

Vancouver:

Heidarpour M. EXTENDED TARGET TRACKING METHODS IN MODERN SENSOR APPLICATIONS. [Internet] [Doctoral dissertation]. McMaster University; 2020. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11375/25713.

Council of Science Editors:

Heidarpour M. EXTENDED TARGET TRACKING METHODS IN MODERN SENSOR APPLICATIONS. [Doctoral Dissertation]. McMaster University; 2020. Available from: http://hdl.handle.net/11375/25713


McMaster University

3. Baser, Erkan. Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator.

Degree: PhD, 2017, McMaster University

This dissertation concerns with the formulation of an improved multi-target multi-Bernoulli (MeMBer) filter and the use of the joint multi-target (JoM) estimator in an effective… (more)

Subjects/Keywords: Multi-target tracking; random finite set; multi-target multi-Bernoulli filter; joint multi-target estimator.

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APA (6th Edition):

Baser, E. (2017). Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/20947

Chicago Manual of Style (16th Edition):

Baser, Erkan. “Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator.” 2017. Doctoral Dissertation, McMaster University. Accessed January 28, 2021. http://hdl.handle.net/11375/20947.

MLA Handbook (7th Edition):

Baser, Erkan. “Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator.” 2017. Web. 28 Jan 2021.

Vancouver:

Baser E. Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator. [Internet] [Doctoral dissertation]. McMaster University; 2017. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11375/20947.

Council of Science Editors:

Baser E. Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator. [Doctoral Dissertation]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/20947


Iowa State University

4. Laguna, Guillermo Jesus. Multirobot deployment, coordination and tracking strategies: A computational-geometric approach.

Degree: 2020, Iowa State University

 This dissertation addresses three novel problems in the visual-based target tracking field using a team of mobile observers/guards. In all the problems, there is a… (more)

Subjects/Keywords: Computational Geometry; Multi-robot Systems; Target Tracking

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APA (6th Edition):

Laguna, G. J. (2020). Multirobot deployment, coordination and tracking strategies: A computational-geometric approach. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/17824

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):

Laguna, Guillermo Jesus. “Multirobot deployment, coordination and tracking strategies: A computational-geometric approach.” 2020. Thesis, Iowa State University. Accessed January 28, 2021. https://lib.dr.iastate.edu/etd/17824.

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

MLA Handbook (7th Edition):

Laguna, Guillermo Jesus. “Multirobot deployment, coordination and tracking strategies: A computational-geometric approach.” 2020. Web. 28 Jan 2021.

Vancouver:

Laguna GJ. Multirobot deployment, coordination and tracking strategies: A computational-geometric approach. [Internet] [Thesis]. Iowa State University; 2020. [cited 2021 Jan 28]. Available from: https://lib.dr.iastate.edu/etd/17824.

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

Council of Science Editors:

Laguna GJ. Multirobot deployment, coordination and tracking strategies: A computational-geometric approach. [Thesis]. Iowa State University; 2020. Available from: https://lib.dr.iastate.edu/etd/17824

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


Queen Mary, University of London

5. Poiesi, Fabio. Multi-target tracking and performance evaluation on videos.

Degree: PhD, 2014, Queen Mary, University of London

Multi-target tracking is the process that allows the extraction of object motion patterns of interest from a scene. Motion patterns are often described through metadata… (more)

Subjects/Keywords: 621.389; Electronic Engineering; Multi-target tracking

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APA (6th Edition):

Poiesi, F. (2014). Multi-target tracking and performance evaluation on videos. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/8848 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667296

Chicago Manual of Style (16th Edition):

Poiesi, Fabio. “Multi-target tracking and performance evaluation on videos.” 2014. Doctoral Dissertation, Queen Mary, University of London. Accessed January 28, 2021. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8848 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667296.

MLA Handbook (7th Edition):

Poiesi, Fabio. “Multi-target tracking and performance evaluation on videos.” 2014. Web. 28 Jan 2021.

Vancouver:

Poiesi F. Multi-target tracking and performance evaluation on videos. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2014. [cited 2021 Jan 28]. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/8848 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667296.

Council of Science Editors:

Poiesi F. Multi-target tracking and performance evaluation on videos. [Doctoral Dissertation]. Queen Mary, University of London; 2014. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/8848 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667296


University of Southern California

6. Yang, Bo. Multiple humnas tracking by learning appearance and motion patterns.

Degree: PhD, Computer Science, 2012, University of Southern California

Tracking multiple humans in real scenes is an important problem in computer vision due to its importance for many applications, such as surveillance, robotics, and… (more)

Subjects/Keywords: multi-target tracking; appearance and motion patterns

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APA (6th Edition):

Yang, B. (2012). Multiple humnas tracking by learning appearance and motion patterns. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/77404/rec/4278

Chicago Manual of Style (16th Edition):

Yang, Bo. “Multiple humnas tracking by learning appearance and motion patterns.” 2012. Doctoral Dissertation, University of Southern California. Accessed January 28, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/77404/rec/4278.

MLA Handbook (7th Edition):

Yang, Bo. “Multiple humnas tracking by learning appearance and motion patterns.” 2012. Web. 28 Jan 2021.

Vancouver:

Yang B. Multiple humnas tracking by learning appearance and motion patterns. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2021 Jan 28]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/77404/rec/4278.

Council of Science Editors:

Yang B. Multiple humnas tracking by learning appearance and motion patterns. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/77404/rec/4278


Clemson University

7. 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 January 28, 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. 28 Jan 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 Jan 28]. 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


Virginia Tech

8. Mangette, Clayton John. Perception and Planning of Connected and Automated Vehicles.

Degree: MS, Electrical Engineering, 2020, Virginia Tech

 Connected and Automated Vehicles are an emerging area of research that involve integrating computational components to enable autonomous driving. This work considers two of the… (more)

Subjects/Keywords: sensor fusion; multi-target tracking; multi-robot planning; motion planning

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APA (6th Edition):

Mangette, C. J. (2020). Perception and Planning of Connected and Automated Vehicles. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/98812

Chicago Manual of Style (16th Edition):

Mangette, Clayton John. “Perception and Planning of Connected and Automated Vehicles.” 2020. Masters Thesis, Virginia Tech. Accessed January 28, 2021. http://hdl.handle.net/10919/98812.

MLA Handbook (7th Edition):

Mangette, Clayton John. “Perception and Planning of Connected and Automated Vehicles.” 2020. Web. 28 Jan 2021.

Vancouver:

Mangette CJ. Perception and Planning of Connected and Automated Vehicles. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10919/98812.

Council of Science Editors:

Mangette CJ. Perception and Planning of Connected and Automated Vehicles. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/98812


George Mason University

9. Gornowich, John. Tracking control for a formation of Autonomous Underwater vehicles .

Degree: 2011, George Mason University

 Autonomous Underwater Vehicles (AUVs) are being implemented for a multitude of military and commercial applications, as well as scientific research and surveying. Because of the… (more)

Subjects/Keywords: underwater vehicle; target tracking; AUV; vehicle control; multi-vehicle cooperation

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APA (6th Edition):

Gornowich, J. (2011). Tracking control for a formation of Autonomous Underwater vehicles . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/6175

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):

Gornowich, John. “Tracking control for a formation of Autonomous Underwater vehicles .” 2011. Thesis, George Mason University. Accessed January 28, 2021. http://hdl.handle.net/1920/6175.

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

MLA Handbook (7th Edition):

Gornowich, John. “Tracking control for a formation of Autonomous Underwater vehicles .” 2011. Web. 28 Jan 2021.

Vancouver:

Gornowich J. Tracking control for a formation of Autonomous Underwater vehicles . [Internet] [Thesis]. George Mason University; 2011. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/1920/6175.

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

Council of Science Editors:

Gornowich J. Tracking control for a formation of Autonomous Underwater vehicles . [Thesis]. George Mason University; 2011. Available from: http://hdl.handle.net/1920/6175

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


Loughborough University

10. ur-Rehman, Ata. Bayesian-based techniques for tracking multiple humans in an enclosed environment.

Degree: PhD, 2014, Loughborough University

 This thesis deals with the problem of online visual tracking of multiple humans in an enclosed environment. The focus is to develop techniques to deal… (more)

Subjects/Keywords: 620.001; Clustering; Occlusion; Data association; Multi-target tracking

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APA (6th Edition):

ur-Rehman, A. (2014). Bayesian-based techniques for tracking multiple humans in an enclosed environment. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/14174

Chicago Manual of Style (16th Edition):

ur-Rehman, Ata. “Bayesian-based techniques for tracking multiple humans in an enclosed environment.” 2014. Doctoral Dissertation, Loughborough University. Accessed January 28, 2021. http://hdl.handle.net/2134/14174.

MLA Handbook (7th Edition):

ur-Rehman, Ata. “Bayesian-based techniques for tracking multiple humans in an enclosed environment.” 2014. Web. 28 Jan 2021.

Vancouver:

ur-Rehman A. Bayesian-based techniques for tracking multiple humans in an enclosed environment. [Internet] [Doctoral dissertation]. Loughborough University; 2014. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/2134/14174.

Council of Science Editors:

ur-Rehman A. Bayesian-based techniques for tracking multiple humans in an enclosed environment. [Doctoral Dissertation]. Loughborough University; 2014. Available from: http://hdl.handle.net/2134/14174


Virginia Tech

11. Budhiraja, Ashish Kumar. View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams.

Degree: MS, Computer Engineering, 2017, Virginia Tech

 We study the problem of viewpoint planning in static and dynamic scenes using multi-robot teams. This work is motivated by two applications: bridge inspection and… (more)

Subjects/Keywords: Multi-Robot Coordination; Traveling Salesman Problem; Target Tracking

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APA (6th Edition):

Budhiraja, A. K. (2017). View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78807

Chicago Manual of Style (16th Edition):

Budhiraja, Ashish Kumar. “View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams.” 2017. Masters Thesis, Virginia Tech. Accessed January 28, 2021. http://hdl.handle.net/10919/78807.

MLA Handbook (7th Edition):

Budhiraja, Ashish Kumar. “View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams.” 2017. Web. 28 Jan 2021.

Vancouver:

Budhiraja AK. View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10919/78807.

Council of Science Editors:

Budhiraja AK. View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78807


Brno University of Technology

12. Vrzal, Radek. Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision.

Degree: 2020, Brno University of Technology

 This thesis deals with a concept of system for automatic passenger counting in different  modes of transport. Counting units are placed in top of the… (more)

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

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

APA (6th Edition):

Vrzal, R. (2020). Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189916

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):

Vrzal, Radek. “Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision.” 2020. Thesis, Brno University of Technology. Accessed January 28, 2021. http://hdl.handle.net/11012/189916.

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

MLA Handbook (7th Edition):

Vrzal, Radek. “Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision.” 2020. Web. 28 Jan 2021.

Vancouver:

Vrzal R. Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11012/189916.

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

Council of Science Editors:

Vrzal R. Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189916

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


Brno University of Technology

13. Vrzal, Radek. Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision.

Degree: 2019, Brno University of Technology

 This thesis deals with a concept of system for automatic passenger counting in different  modes of transport. Counting units are placed in top of the… (more)

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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Vrzal, R. (2019). Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/61837

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

Chicago Manual of Style (16th Edition):

Vrzal, Radek. “Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision.” 2019. Thesis, Brno University of Technology. Accessed January 28, 2021. http://hdl.handle.net/11012/61837.

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

MLA Handbook (7th Edition):

Vrzal, Radek. “Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision.” 2019. Web. 28 Jan 2021.

Vancouver:

Vrzal R. Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11012/61837.

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

Council of Science Editors:

Vrzal R. Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/61837

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


Brno University of Technology

14. Vrzal, Radek. Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision.

Degree: 2020, Brno University of Technology

 This thesis deals with a concept of system for automatic passenger counting in different  modes of transport. Counting units are placed in top of the… (more)

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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Vrzal, R. (2020). Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188831

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):

Vrzal, Radek. “Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision.” 2020. Thesis, Brno University of Technology. Accessed January 28, 2021. http://hdl.handle.net/11012/188831.

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

MLA Handbook (7th Edition):

Vrzal, Radek. “Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision.” 2020. Web. 28 Jan 2021.

Vancouver:

Vrzal R. Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11012/188831.

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

Council of Science Editors:

Vrzal R. Stereovizní systém pro počítání cestujících v hromadných dopravních prostředcích: Passenger Counting System Based on Stereovision. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188831

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


University of Colorado

15. Bryant, Daniel S. Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework.

Degree: PhD, 2017, University of Colorado

 Fragmentation events and large scale small-sat deployments are a significant threat; because of the sudden creation of many new objects posing potential risks to existing… (more)

Subjects/Keywords: Bayesian estimation; generalized labeled multi-Bernoulli filter; multi-object filtering; multi-target tracking; object spawning; random finite sets; Aerospace Engineering

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

APA (6th Edition):

Bryant, D. S. (2017). Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/194

Chicago Manual of Style (16th Edition):

Bryant, Daniel S. “Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework.” 2017. Doctoral Dissertation, University of Colorado. Accessed January 28, 2021. https://scholar.colorado.edu/asen_gradetds/194.

MLA Handbook (7th Edition):

Bryant, Daniel S. “Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework.” 2017. Web. 28 Jan 2021.

Vancouver:

Bryant DS. Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2021 Jan 28]. Available from: https://scholar.colorado.edu/asen_gradetds/194.

Council of Science Editors:

Bryant DS. Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/asen_gradetds/194


University of Windsor

16. Yenkanchi, Shashibushan. MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES.

Degree: MA, Electrical and Computer Engineering, 2016, University of Windsor

Multi sensor Data Fusion for Advanced Driver Assistance Systems (ADAS) in Automotive industry has gained a lot of attention lately with the advent of self-driving… (more)

Subjects/Keywords: Autonomous vehicles; Data Association; Multi Object Detection; Multi Sensor Data Fusion; Multi Target Tracking; State Estimation

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

APA (6th Edition):

Yenkanchi, S. (2016). MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5680

Chicago Manual of Style (16th Edition):

Yenkanchi, Shashibushan. “MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES.” 2016. Masters Thesis, University of Windsor. Accessed January 28, 2021. https://scholar.uwindsor.ca/etd/5680.

MLA Handbook (7th Edition):

Yenkanchi, Shashibushan. “MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES.” 2016. Web. 28 Jan 2021.

Vancouver:

Yenkanchi S. MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES. [Internet] [Masters thesis]. University of Windsor; 2016. [cited 2021 Jan 28]. Available from: https://scholar.uwindsor.ca/etd/5680.

Council of Science Editors:

Yenkanchi S. MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES. [Masters Thesis]. University of Windsor; 2016. Available from: https://scholar.uwindsor.ca/etd/5680


Delft University of Technology

17. Nagesh, Saravanan (author). Robust Feature Extraction Algorithm for analysis of Radar Targets using Multi-Object Tracking on Range Velocity Space.

Degree: 2019, Delft University of Technology

 In this thesis, we propose, a Robust data extraction algorithm capable of extracting reliable target features of multiple moving targets of different classes over all… (more)

Subjects/Keywords: Multi Target Tracking; Feature extraction; polarimetry radar; Data association; Radar; Clustering; Fusion; Extended Target; Kalman Filter

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

APA (6th Edition):

Nagesh, S. (. (2019). Robust Feature Extraction Algorithm for analysis of Radar Targets using Multi-Object Tracking on Range Velocity Space. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:12a7b370-267b-482b-b4c7-4fce22e138b1

Chicago Manual of Style (16th Edition):

Nagesh, Saravanan (author). “Robust Feature Extraction Algorithm for analysis of Radar Targets using Multi-Object Tracking on Range Velocity Space.” 2019. Masters Thesis, Delft University of Technology. Accessed January 28, 2021. http://resolver.tudelft.nl/uuid:12a7b370-267b-482b-b4c7-4fce22e138b1.

MLA Handbook (7th Edition):

Nagesh, Saravanan (author). “Robust Feature Extraction Algorithm for analysis of Radar Targets using Multi-Object Tracking on Range Velocity Space.” 2019. Web. 28 Jan 2021.

Vancouver:

Nagesh S(. Robust Feature Extraction Algorithm for analysis of Radar Targets using Multi-Object Tracking on Range Velocity Space. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Jan 28]. Available from: http://resolver.tudelft.nl/uuid:12a7b370-267b-482b-b4c7-4fce22e138b1.

Council of Science Editors:

Nagesh S(. Robust Feature Extraction Algorithm for analysis of Radar Targets using Multi-Object Tracking on Range Velocity Space. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:12a7b370-267b-482b-b4c7-4fce22e138b1


Penn State University

18. Butt, Asad Anwar. Multi-target Tracking Using Higher-order Motion Models.

Degree: 2013, Penn State University

Multi-target tracking is a significant and challenging problem. In its general form it is known to be NP-hard, and many approximate sub-optimal solution methods have… (more)

Subjects/Keywords: multi-target tracking; graphical models; higher-order models; motion models; min-cost network flow

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

APA (6th Edition):

Butt, A. A. (2013). Multi-target Tracking Using Higher-order Motion Models. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/19121

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):

Butt, Asad Anwar. “Multi-target Tracking Using Higher-order Motion Models.” 2013. Thesis, Penn State University. Accessed January 28, 2021. https://submit-etda.libraries.psu.edu/catalog/19121.

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

MLA Handbook (7th Edition):

Butt, Asad Anwar. “Multi-target Tracking Using Higher-order Motion Models.” 2013. Web. 28 Jan 2021.

Vancouver:

Butt AA. Multi-target Tracking Using Higher-order Motion Models. [Internet] [Thesis]. Penn State University; 2013. [cited 2021 Jan 28]. Available from: https://submit-etda.libraries.psu.edu/catalog/19121.

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

Council of Science Editors:

Butt AA. Multi-target Tracking Using Higher-order Motion Models. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/19121

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


North-West University

19. Van der Walt, Anetta. Mathematical modelling of blood spatter with optimization and other numerical methods / Anetta van der Walt .

Degree: 2014, North-West University

 The current methods used by forensic experts to analyse blood spatter neglects the influence of gravitation and drag on the trajectory of the droplet. This… (more)

Subjects/Keywords: Bloodstain analysis; Fluid mechanics; Multi-target tracking; Linear programming; Dynamic programming; K-shortest path algorithms

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

APA (6th Edition):

Van der Walt, A. (2014). Mathematical modelling of blood spatter with optimization and other numerical methods / Anetta van der Walt . (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/12266

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):

Van der Walt, Anetta. “Mathematical modelling of blood spatter with optimization and other numerical methods / Anetta van der Walt .” 2014. Thesis, North-West University. Accessed January 28, 2021. http://hdl.handle.net/10394/12266.

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

MLA Handbook (7th Edition):

Van der Walt, Anetta. “Mathematical modelling of blood spatter with optimization and other numerical methods / Anetta van der Walt .” 2014. Web. 28 Jan 2021.

Vancouver:

Van der Walt A. Mathematical modelling of blood spatter with optimization and other numerical methods / Anetta van der Walt . [Internet] [Thesis]. North-West University; 2014. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10394/12266.

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

Council of Science Editors:

Van der Walt A. Mathematical modelling of blood spatter with optimization and other numerical methods / Anetta van der Walt . [Thesis]. North-West University; 2014. Available from: http://hdl.handle.net/10394/12266

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


University of Tennessee – Knoxville

20. Kang, Kai. Advanced sequential Monte Carlo methods and their applications to sparse sensor network for detection and estimation.

Degree: 2016, University of Tennessee – Knoxville

 The general state space models present a flexible framework for modeling dynamic systems and therefore have vast applications in many disciplines such as engineering, economics,… (more)

Subjects/Keywords: sequential Monte Carlo; multi-target tracking; wireless sensor network; homotopy; Applied Statistics; Probability; Statistical Theory

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

APA (6th Edition):

Kang, K. (2016). Advanced sequential Monte Carlo methods and their applications to sparse sensor network for detection and estimation. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/3933

Chicago Manual of Style (16th Edition):

Kang, Kai. “Advanced sequential Monte Carlo methods and their applications to sparse sensor network for detection and estimation.” 2016. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed January 28, 2021. https://trace.tennessee.edu/utk_graddiss/3933.

MLA Handbook (7th Edition):

Kang, Kai. “Advanced sequential Monte Carlo methods and their applications to sparse sensor network for detection and estimation.” 2016. Web. 28 Jan 2021.

Vancouver:

Kang K. Advanced sequential Monte Carlo methods and their applications to sparse sensor network for detection and estimation. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2016. [cited 2021 Jan 28]. Available from: https://trace.tennessee.edu/utk_graddiss/3933.

Council of Science Editors:

Kang K. Advanced sequential Monte Carlo methods and their applications to sparse sensor network for detection and estimation. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2016. Available from: https://trace.tennessee.edu/utk_graddiss/3933

21. Hoak, Anthony B. An Interactive Likelihood for the Multi-Bernoulli Filter.

Degree: 2016, Marquette University

 In this thesis, a simple yet effective technique is presented for increasing the accuracy of multi-target tracking algorithms with a focus on sequential Monte-Carlo implementations… (more)

Subjects/Keywords: Bayesian; estimation; multi-target; processing; signal; tracking; Applied Mathematics; Electrical and Computer Engineering

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

APA (6th Edition):

Hoak, A. B. (2016). An Interactive Likelihood for the Multi-Bernoulli Filter. (Thesis). Marquette University. Retrieved from https://epublications.marquette.edu/theses_open/375

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):

Hoak, Anthony B. “An Interactive Likelihood for the Multi-Bernoulli Filter.” 2016. Thesis, Marquette University. Accessed January 28, 2021. https://epublications.marquette.edu/theses_open/375.

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

MLA Handbook (7th Edition):

Hoak, Anthony B. “An Interactive Likelihood for the Multi-Bernoulli Filter.” 2016. Web. 28 Jan 2021.

Vancouver:

Hoak AB. An Interactive Likelihood for the Multi-Bernoulli Filter. [Internet] [Thesis]. Marquette University; 2016. [cited 2021 Jan 28]. Available from: https://epublications.marquette.edu/theses_open/375.

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

Council of Science Editors:

Hoak AB. An Interactive Likelihood for the Multi-Bernoulli Filter. [Thesis]. Marquette University; 2016. Available from: https://epublications.marquette.edu/theses_open/375

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


University of Oklahoma

22. Lucking, David. Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking.

Degree: PhD, 2019, University of Oklahoma

 A sensor's performance is constrained by the amount of resources at its disposal and the utilization of those resources. A radar system, for example, has… (more)

Subjects/Keywords: Digital Arrays; Multi-Target Tracking; Radar Modeling; Radar Resource Management; Radar Signal Processing

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

APA (6th Edition):

Lucking, D. (2019). Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/320358

Chicago Manual of Style (16th Edition):

Lucking, David. “Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking.” 2019. Doctoral Dissertation, University of Oklahoma. Accessed January 28, 2021. http://hdl.handle.net/11244/320358.

MLA Handbook (7th Edition):

Lucking, David. “Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking.” 2019. Web. 28 Jan 2021.

Vancouver:

Lucking D. Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking. [Internet] [Doctoral dissertation]. University of Oklahoma; 2019. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11244/320358.

Council of Science Editors:

Lucking D. Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking. [Doctoral Dissertation]. University of Oklahoma; 2019. Available from: http://hdl.handle.net/11244/320358


RMIT University

23. Rathnayake, T. Multi-object tracking in video using labeled random finite sets.

Degree: 2018, RMIT University

 The safety of industrial mobile platforms (such as fork lifts and boom lifts) is of major concern in the world today as industry embraces the… (more)

Subjects/Keywords: Fields of Research; Multi-object tracking; Multi-target tracking; Visual tracking; Random finite sets; Bernoulli; Bayesian; Computer vision; Signal processing; Image processing; Information fusion; Industrial safety

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

APA (6th Edition):

Rathnayake, T. (2018). Multi-object tracking in video using labeled random finite sets. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162545

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):

Rathnayake, T. “Multi-object tracking in video using labeled random finite sets.” 2018. Thesis, RMIT University. Accessed January 28, 2021. http://researchbank.rmit.edu.au/view/rmit:162545.

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

MLA Handbook (7th Edition):

Rathnayake, T. “Multi-object tracking in video using labeled random finite sets.” 2018. Web. 28 Jan 2021.

Vancouver:

Rathnayake T. Multi-object tracking in video using labeled random finite sets. [Internet] [Thesis]. RMIT University; 2018. [cited 2021 Jan 28]. Available from: http://researchbank.rmit.edu.au/view/rmit:162545.

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

Council of Science Editors:

Rathnayake T. Multi-object tracking in video using labeled random finite sets. [Thesis]. RMIT University; 2018. Available from: http://researchbank.rmit.edu.au/view/rmit:162545

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


RMIT University

24. Cai, H. Optical based statistical space objects tracking for catalogue maintenance.

Degree: 2019, RMIT University

 The number of space objects has grown substantially in the past decades due to new launches, regular mission activities, and breakup events. This has significantly… (more)

Subjects/Keywords: Fields of Research; space object catalog; tracklet association; multi-target tracking; multi-sensor tasking; birth model

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

APA (6th Edition):

Cai, H. (2019). Optical based statistical space objects tracking for catalogue maintenance. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162792

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):

Cai, H. “Optical based statistical space objects tracking for catalogue maintenance.” 2019. Thesis, RMIT University. Accessed January 28, 2021. http://researchbank.rmit.edu.au/view/rmit:162792.

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

MLA Handbook (7th Edition):

Cai, H. “Optical based statistical space objects tracking for catalogue maintenance.” 2019. Web. 28 Jan 2021.

Vancouver:

Cai H. Optical based statistical space objects tracking for catalogue maintenance. [Internet] [Thesis]. RMIT University; 2019. [cited 2021 Jan 28]. Available from: http://researchbank.rmit.edu.au/view/rmit:162792.

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

Council of Science Editors:

Cai H. Optical based statistical space objects tracking for catalogue maintenance. [Thesis]. RMIT University; 2019. Available from: http://researchbank.rmit.edu.au/view/rmit:162792

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

25. XU JIN. DESIGNING LOCAL BEHAVIOR TO ACHIEVE GLOBAL OBJECTIVES: AN APPLICATION ON ACOUSTIC SENSOR NETWORK.

Degree: 2004, National University of Singapore

Subjects/Keywords: multi-sensor; multi-target; tracking; decentralized; algorithm

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

APA (6th Edition):

JIN, X. (2004). DESIGNING LOCAL BEHAVIOR TO ACHIEVE GLOBAL OBJECTIVES: AN APPLICATION ON ACOUSTIC SENSOR NETWORK. (Thesis). National University of Singapore. Retrieved from https://scholarbank.nus.edu.sg/handle/10635/154022

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):

JIN, XU. “DESIGNING LOCAL BEHAVIOR TO ACHIEVE GLOBAL OBJECTIVES: AN APPLICATION ON ACOUSTIC SENSOR NETWORK.” 2004. Thesis, National University of Singapore. Accessed January 28, 2021. https://scholarbank.nus.edu.sg/handle/10635/154022.

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

MLA Handbook (7th Edition):

JIN, XU. “DESIGNING LOCAL BEHAVIOR TO ACHIEVE GLOBAL OBJECTIVES: AN APPLICATION ON ACOUSTIC SENSOR NETWORK.” 2004. Web. 28 Jan 2021.

Vancouver:

JIN X. DESIGNING LOCAL BEHAVIOR TO ACHIEVE GLOBAL OBJECTIVES: AN APPLICATION ON ACOUSTIC SENSOR NETWORK. [Internet] [Thesis]. National University of Singapore; 2004. [cited 2021 Jan 28]. Available from: https://scholarbank.nus.edu.sg/handle/10635/154022.

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

Council of Science Editors:

JIN X. DESIGNING LOCAL BEHAVIOR TO ACHIEVE GLOBAL OBJECTIVES: AN APPLICATION ON ACOUSTIC SENSOR NETWORK. [Thesis]. National University of Singapore; 2004. Available from: https://scholarbank.nus.edu.sg/handle/10635/154022

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


Duke University

26. Ristani, Ergys. People Tracking and Re-Identification from Multiple Cameras .

Degree: 2018, Duke University

  In many surveillance or monitoring applications, one or more cameras view several people that move in an environment. Multi-person tracking amounts to using the… (more)

Subjects/Keywords: Computer science; correlation clustering; DukeMTMC; identity measures; multi target multi camera tracking; person re-identification; triplet loss

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

APA (6th Edition):

Ristani, E. (2018). People Tracking and Re-Identification from Multiple Cameras . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/17478

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):

Ristani, Ergys. “People Tracking and Re-Identification from Multiple Cameras .” 2018. Thesis, Duke University. Accessed January 28, 2021. http://hdl.handle.net/10161/17478.

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

MLA Handbook (7th Edition):

Ristani, Ergys. “People Tracking and Re-Identification from Multiple Cameras .” 2018. Web. 28 Jan 2021.

Vancouver:

Ristani E. People Tracking and Re-Identification from Multiple Cameras . [Internet] [Thesis]. Duke University; 2018. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10161/17478.

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

Council of Science Editors:

Ristani E. People Tracking and Re-Identification from Multiple Cameras . [Thesis]. Duke University; 2018. Available from: http://hdl.handle.net/10161/17478

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


University of California – Riverside

27. Zhang, Shu. Wide-Area Video Understanding: Tracking, Video Summarization and Algorithm-Platform Co-Design.

Degree: Electrical Engineering, 2015, University of California – Riverside

 Analyzing scenes captured in video over wide areas, either in a single view or in multiple views, is the focus of this thesis. The thesis… (more)

Subjects/Keywords: Engineering; Electrical engineering; algorithm-platform co-design; multi-target tracking; video summarization; wide-area video understanding

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

APA (6th Edition):

Zhang, S. (2015). Wide-Area Video Understanding: Tracking, Video Summarization and Algorithm-Platform Co-Design. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/9nv401pv

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):

Zhang, Shu. “Wide-Area Video Understanding: Tracking, Video Summarization and Algorithm-Platform Co-Design.” 2015. Thesis, University of California – Riverside. Accessed January 28, 2021. http://www.escholarship.org/uc/item/9nv401pv.

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

MLA Handbook (7th Edition):

Zhang, Shu. “Wide-Area Video Understanding: Tracking, Video Summarization and Algorithm-Platform Co-Design.” 2015. Web. 28 Jan 2021.

Vancouver:

Zhang S. Wide-Area Video Understanding: Tracking, Video Summarization and Algorithm-Platform Co-Design. [Internet] [Thesis]. University of California – Riverside; 2015. [cited 2021 Jan 28]. Available from: http://www.escholarship.org/uc/item/9nv401pv.

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

Council of Science Editors:

Zhang S. Wide-Area Video Understanding: Tracking, Video Summarization and Algorithm-Platform Co-Design. [Thesis]. University of California – Riverside; 2015. Available from: http://www.escholarship.org/uc/item/9nv401pv

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

28. Deepa Elizabeth George; Dr.A. Unnikrishnan. Development and Evaluation of Multi Sensor Data Fusion Algorithms for Target Tracking.

Degree: 2017, Cochin University of Science and Technology

Subjects/Keywords: Target Tracking; Multi Sensor Data Fusion Algorithms

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APA (6th Edition):

Unnikrishnan, D. E. G. D. (2017). Development and Evaluation of Multi Sensor Data Fusion Algorithms for Target Tracking. (Thesis). Cochin University of Science and Technology. Retrieved from http://dyuthi.cusat.ac.in/purl/5343

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):

Unnikrishnan, Deepa Elizabeth George; Dr.A.. “Development and Evaluation of Multi Sensor Data Fusion Algorithms for Target Tracking.” 2017. Thesis, Cochin University of Science and Technology. Accessed January 28, 2021. http://dyuthi.cusat.ac.in/purl/5343.

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

MLA Handbook (7th Edition):

Unnikrishnan, Deepa Elizabeth George; Dr.A.. “Development and Evaluation of Multi Sensor Data Fusion Algorithms for Target Tracking.” 2017. Web. 28 Jan 2021.

Vancouver:

Unnikrishnan DEGD. Development and Evaluation of Multi Sensor Data Fusion Algorithms for Target Tracking. [Internet] [Thesis]. Cochin University of Science and Technology; 2017. [cited 2021 Jan 28]. Available from: http://dyuthi.cusat.ac.in/purl/5343.

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

Council of Science Editors:

Unnikrishnan DEGD. Development and Evaluation of Multi Sensor Data Fusion Algorithms for Target Tracking. [Thesis]. Cochin University of Science and Technology; 2017. Available from: http://dyuthi.cusat.ac.in/purl/5343

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

29. Quintero, Steven Andrew Provencio. Optimal Control and Coordination of Small UAVs for Vision-based Target Tracking.

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

 Small unmanned aerial vehicles (UAVs) are relatively inexpensive mobile sensing platforms capable of reliably and autonomously performing numerous tasks, including mapping, search and rescue, surveillance… (more)

Subjects/Keywords: Engineering; autonomous vehicle; multi-vehicle coordination; optimal control of autonomous vehicles; optimal coordination of autonomous vehicles; target tracking; unmanned aerial vehicle

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

APA (6th Edition):

Quintero, S. A. P. (2014). Optimal Control and Coordination of Small UAVs for Vision-based Target Tracking. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/0s18p519

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):

Quintero, Steven Andrew Provencio. “Optimal Control and Coordination of Small UAVs for Vision-based Target Tracking.” 2014. Thesis, University of California – eScholarship, University of California. Accessed January 28, 2021. http://www.escholarship.org/uc/item/0s18p519.

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

MLA Handbook (7th Edition):

Quintero, Steven Andrew Provencio. “Optimal Control and Coordination of Small UAVs for Vision-based Target Tracking.” 2014. Web. 28 Jan 2021.

Vancouver:

Quintero SAP. Optimal Control and Coordination of Small UAVs for Vision-based Target Tracking. [Internet] [Thesis]. University of California – eScholarship, University of California; 2014. [cited 2021 Jan 28]. Available from: http://www.escholarship.org/uc/item/0s18p519.

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

Council of Science Editors:

Quintero SAP. Optimal Control and Coordination of Small UAVs for Vision-based Target Tracking. [Thesis]. University of California – eScholarship, University of California; 2014. Available from: http://www.escholarship.org/uc/item/0s18p519

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


University of Minnesota

30. Karnad, Nikhil. Robot Motion Planning for Tracking and Capturing Adversarial, Cooperative and Independent Targets.

Degree: PhD, Computer Science, 2015, University of Minnesota

 The last ten years have seen robots become smaller, lighter and more maneuverable than ever before, paving the way for their use in the service… (more)

Subjects/Keywords: Autonomous navigation; Mobile telepresence; Motion planning; Multi-robot target tracking; Pursuit-evasion games; Robotic sensor networks

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

APA (6th Edition):

Karnad, N. (2015). Robot Motion Planning for Tracking and Capturing Adversarial, Cooperative and Independent Targets. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175532

Chicago Manual of Style (16th Edition):

Karnad, Nikhil. “Robot Motion Planning for Tracking and Capturing Adversarial, Cooperative and Independent Targets.” 2015. Doctoral Dissertation, University of Minnesota. Accessed January 28, 2021. http://hdl.handle.net/11299/175532.

MLA Handbook (7th Edition):

Karnad, Nikhil. “Robot Motion Planning for Tracking and Capturing Adversarial, Cooperative and Independent Targets.” 2015. Web. 28 Jan 2021.

Vancouver:

Karnad N. Robot Motion Planning for Tracking and Capturing Adversarial, Cooperative and Independent Targets. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11299/175532.

Council of Science Editors:

Karnad N. Robot Motion Planning for Tracking and Capturing Adversarial, Cooperative and Independent Targets. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175532

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