subject:(Multi Target Tracking)

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 (6^th 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 (16^th 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 (7^th 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

URL: http://hdl.handle.net/11375/25713

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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)

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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 as autonomous vehicles, visual tracking and surveillance using high resolution sensors. This has renewed the interest in extended target (ET) tracking, which aims to track not only the centroid of a target, but also its shape and size over time. This thesis addresses three of the most challenging problems in the domain of ET tracking applications. The first investigated challenge is the need for an accu- rate shape and centre estimate for the ET object with an arbitrary unknown star- convex shape in presence of non-Gaussian noise. The proposed method is based on a Student’s-t process regression algorithm which is defined in a recursive framework to be applicable for on-line tracking problems. The second problem tries to relax any constraints, including the star-convex con- straint, that is imposed on the shape of the ET object during the course of estimation by defining a novel Random Polytopes shape descriptor. Also, the proposed solution introduces a method to mitigate the troubles caused as a result of self-occlusion in ET tracking applications which its ignorance may cause catastrophic divergence in the ET state estimate.Finally, a framework for tracking multiple ET objects in the presence of clutter and occlusion is studied and a solution is proposed. The proposed method can estimate the centre and shape of the ET objects in a realistically scenario with the self- and mutual-occlusion challenges being considered. The proposed approach defines a time varying state-dependent probability of detection for each ET that enables the track to prolong even under adverse conditions caused due to mutual-occlusion. Plus, the proposed algorithm uses set-membership uncertainty models to bound the association and target shape uncertainties of occluded ET, to obtain more accurate state and shape estimates of an ET object. The performance of the proposed methods are quantified on realistically simulated scenarios with self- and mutual-occlusions and their results are compared against existing state-of-the-art methods for ET tracking applications.

Thesis

Doctor of Philosophy (PhD)

Advisors/Committee Members: Kirubarajan, Thiagalingam, Electrical and Computer Engineering.

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

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

APA (6^th 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 (16^th 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 (7^th 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

URL: http://hdl.handle.net/11375/20947

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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)

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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 and efficient manner for a specific implementation of MeMBer filters. After reviewing random finite set (RFS) formalism for multi-target tracking problems and the related Bayes estimators the major contributions of this dissertation are explained in detail. The second chapter of this dissertation is dedicated to the analysis of the relationship between the multi-Bernoulli RFS distribution and the MeMBer corrector. This analysis leads to the formulation of an unbiased MeMBer filter without making any limiting assumption. Hence, as opposed to the popular cardinality balanced multi-target multi-Bernoulli (CBMeMBer) filter, the proposed MeMBer filter can be employed under the cases when sensor detection probability is moderate to low. Furthermore, a statistical refinement process is introduced to improve the stability of the estimated cardinality of targets obtained from the proposed MeMBer filter. The results from simulations demonstrate the effectiveness of the improved MeMBer filter. In Chapters III and IV, the Bayesian optimal estimators proposed for the RFS based multi-target tracking filters are examined in detail. First, an optimal solution to the unknown constant in the definition of the JoM estimator is determined by solving a multi-objective optimization problem. Thus, the JoM estimator can be implemented for tracking of a Bernoulli target using the optimal joint target detection and tracking (JoTT) filter. The results from simulations confirm assertions about its performance obtained by theoretical analysis in the literature. Finally, in the third chapter of this dissertation, the proposed JoM estimator is reformulated for RFS multi-Bernoulli distributions. Hence, an effective and efficient implementation of the JoM estimator is proposed for the Gaussian mixture implementations of the MeMBer filters. Simulation results demonstrate the robustness of the proposed JoM estimator under low-observable conditions.

Thesis

Doctor of Philosophy (PhD)

Advisors/Committee Members: Kirubarajan, Thia, Electrical and Computer Engineering.

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

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

APA (6^th 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 (16^th 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 (7^th 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

URL: https://lib.dr.iastate.edu/etd/17824

► 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)

▼ 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 mobile and unpredictable target/intruder inside a closed and polygonal environment. A team of observers must maintain the target inside the field of view of at least one observer all the time. We explore the coordination and motion strategies that the observers require to achieve their objective when they are constrained to move along fixed paths in the environment. This work lays some ground on the target tracking field when the observers have limited motion capabilities, so it builds a bridge between typical pursuit-evasion games where the observer can move freely in the environment, and area coverage in robotics with static sensors. In the first problem, a team of diagonal guards is deployed inside the polygon to provide mobile coverage. In the first problem, we formulate the target tracking task as a multi-robot task allocation (MRTA) problem. Leveraging on guard deployment strategies in art gallery problems for mobile coverage, we show that the problem of finding the minimum speed of guards to persistently track a single mobile intruder is NP-hard. Next, for a given maximum speed of the intruder and the guards, we propose a technique to partition the polygon, and compute a feasible allocation of guards to the partitions. We prove the correctness of the proposed algorithm, and show its completeness for a specific class of inputs. We extend the proposed techniques to address guard deployment and allocation strategies for non-simple polygons and multiple intruders. Additionally, a hybrid automaton is designed to model the problem with a single intruder, and sufficient conditions are presented for the team of diagonal guards to guarantee persistent surveillance. In the second problem, a team of static and mobile guards track a mobile intruder with unknown maximum speed. We consider the special case when the mobile guards are restricted to move along the diagonals of a polygonal environment. First, we present an algorithm to identify candidate vertices in a polygon at which either static guards can be placed or they can serve as an endpoint of the segment on which mobile guards move. Finally, we present a strategy to activate/deactivate static guards based on the speed of the intruder. For the third problem, we consider the case of a single guard and a single intruder. The guard can move along a more complex trajectory and its responsible of persistently tracking the intruder. The concept of a p-route is introduced, which is the fixed path of the mobile observer. Next, we address the problem of minimizing the speed required by the observer to guarantee persistent tracking along a given p-route, which is proven to be at most three times the optimal speed. We propose a metric for tracking to estimate a sufficient speed for the observer given the geometry of the environment. A reactive motion strategy for the observer is presented. Moreover, we show that the…

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

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APA (6^th 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 (16^th 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 (7^th 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

URL: http://qmro.qmul.ac.uk/xmlui/handle/123456789/8848 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667296

► 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)

▼ 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 representing object locations and shape information. In the first part of this thesis we discuss the state-of-the-art methods aimed at accomplishing this task on monocular views and also analyse the methods for evaluating their performance. The second part of the thesis describes our research contribution to these topics. We begin presenting a method for multi-target tracking based on track-before-detect (MTTBD) formulated as a particle filter. The novelty involves the inclusion of the target identity (ID) into the particle state, which enables the algorithm to deal with an unknown and unlimited number of targets. We propose a probabilistic model of particle birth and death based on Markov Random Fields. This model allows us to overcome the problem of the mixing of IDs of close targets. We then propose three evaluation measures that take into account target-size variations, combine accuracy and cardinality errors, quantify long-term tracking accuracy at different accuracy levels, and evaluate ID changes relative to the duration of the track in which they occur. This set of measures does not require pre-setting of parameters and allows one to holistically evaluate tracking performance in an application-independent manner. Lastly, we present a framework for multi-target localisation applied on scenes with a high density of compact objects. Candidate target locations are initially generated by extracting object features from intensity maps using an iterative method based on a gradient-climbing technique and an isocontour slicing approach. A graph-based data association method for multi-target tracking is then applied to link valid candidate target locations over time and to discard those which are spurious. This method can deal with point targets having indistinguishable appearance and unpredictable motion. MT-TBD is evaluated and compared with state-of-the-art methods on real-world surveillance.

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

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

APA (6^th 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 (16^th 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 (7^th 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

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/77404/rec/4278

► 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)

▼ 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 human-computer interactions. Association based tracking often achieves better performances than other approaches in crowded scenes. Based on this framework, I propose offline and online learning algorithms to automatically find potential useful appearance and motion patterns, and utilize them to deal with difficulties in the association framework and to produce much better tracking results. ❧ In association based framework, an offline learned detector is first applied in each video frame to produce detection responses, which are further associated into tracklets, i.e., track fragments, in multiple steps. Measurement of affinities between tracklets is the key issue that determines the performance. In the first part of my thesis, I propose an online learning algorithm which automatically find three important cues from a static scene to improve tracking performance: non-linear motion patterns, potential entry/exit points, and co-moving groups. ❧ Association based tracking methods are often based on the assumption that affinities between tracklet pairs are independent of each other. However, this is not always true in real cases. In order to relax the independent assumption, we introduce an offline learned Conditional Random Field (CRF) model to estimate both affinities between tracklets and dependencies among them. Finding best associations between tracklets is transformed into an energy minimization problem, and energies of unary and pairwise terms in the CRF model are offline learned from pre-labeled ground truth data by a RankBoost algorithm. Then I further extended the approach into an online version. Positive and negative pairs are online collected according to temporal constraints; the learned appearance models better distinguish close but visually similar targets and the learned motion models considered relative distances between targets to alleviate camera motion and non-linear path effects. ❧ As detection performance limits the performances of traditional association based tracking approaches, I further propose an online learned discriminative part-based appearance models which incorporates category free tracking techniques into association based tracking. In this work, occlusions among targets are explicitly considered to produce more robust appearance models. A category free tracking method is adopted to track a target without detection responses while distinguishing different targets and the background. ❧ I designed comprehensive experiments to evaluate all my algorithms and important modules. The performances show effectiveness of my approaches on different data sets, with different human densities, illuminations, camera motions, and etc. Advisors/Committee Members: Nevatia, Ramakant (Committee Chair), Medioni, Gerard G. (Committee Member), Medioni, Gérard G. (Committee Member), Kuo, C.C. Jay (Committee Member).

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

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APA (6^th 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 (16^th 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 (7^th 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

URL: https://tigerprints.clemson.edu/all_dissertations/2692

► 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 (6^th 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 (16^th 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 (7^th 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

URL: http://hdl.handle.net/10919/98812

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

APA (6^th 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 (16^th 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 (7^th 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

URL: http://hdl.handle.net/1920/6175

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

APA (6^th 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 (16^th 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 (7^th 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

URL: http://hdl.handle.net/2134/14174

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

APA (6^th 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 (16^th 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 (7^th 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

URL: http://hdl.handle.net/10919/78807

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

APA (6^th 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 (16^th 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 (7^th 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

URL: http://hdl.handle.net/11012/189916

► 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 Details Similar Records Cite « Share

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

APA (6^th 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 (16^th 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 (7^th 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

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

► 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 Details Similar Records Cite « Share

❌

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

APA (6^th 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 (16^th 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 (7^th 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

URL: http://hdl.handle.net/11012/188831

► 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 Details Similar Records Cite « Share

❌

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

APA (6^th 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 (16^th 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 (7^th 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

URL: https://scholar.colorado.edu/asen_gradetds/194

► 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)

▼ 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 satellites, and the fact that current surveillance systems require laborious human intervention to identify and catalog these new objects. In the tracking community, the spontaneous appearance of new objects is referred to as birth, whereas spawning refers to the appearance of new objects generated by previously existing ones, such as a fragmentation event or small-sat deployment. In this dissertation, two-well known random finite set (RFS) filters are extended via mathematical derivation, aimed at performing initial orbit determination (IOD) of objects generated by spawning events. A Zero-Inflated Poisson (ZIP) spawn model is presented and a predicted cardinality expression for general spawn model configuration, capable of implementation via Partial Bell Polynomials, is derived for the Cardinalized Probability Hypothesis Density (CPHD) filter using a measure-theoretic approach. Generalized Labeled Multi-Bernoulli (GLMB) filter developments achieve a closed-form solution to the multi-object Bayes recursion capable of jointly estimating a spawned object's state and ancestry. Linear simulations demonstrate fundamental filter developments; the ZIP spawn model is shown to outperform other conventional models with the CPHD filter and multiple generations of spawn object ancestry are accurately estimated with the GLMB filter. Finally, non-linear simulations specific to Space Situational Awareness (SSA) IOD demonstrate the filters' efficacy, which include: fragmentation event and small-sat deployment scenarios, homogeneous and heterogeneous radar network observations, and spawning events that occur in and out of sensor field of view. This research shows that on-line multi-object IOD in the presence of spawning is possible within the RFS paradigm, and establishes a foundation upon which further SSA improvements can be investigated. Advisors/Committee Members: Brandon A. Jones, Penina Axelrad, Jay McMahon, Nisar Ahmed, Vanja Dukic.

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 (6^th 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 (16^th 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 (7^th 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

URL: https://scholar.uwindsor.ca/etd/5680

► 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 (6^th 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 (16^th 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 (7^th 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

URL: http://resolver.tudelft.nl/uuid:12a7b370-267b-482b-b4c7-4fce22e138b1

► 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 (6^th 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 (16^th 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 (7^th 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

URL: https://submit-etda.libraries.psu.edu/catalog/19121

► 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)

▼ 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 been proposed to make the problem tractable. To select the best possible trajectories in a given video sequence, a cost function is used to assign costs to the potential candidates. Most recent approaches use only unary costs and pairwise costs between observations in two consecutive frames. Higher-order costs incorporating track smoothness constraints over three or more frames, such as constant velocity, can improve the performance of a tracker, but with added computational complexity. Our motivation is to leverage this information while keeping the computation time comparable to existing methods. For this purpose, we provide two different algorithms. The first algorithm solves for partial trajectories (known as tracklets) over overlapping windows of three frames, and merges consistent overlapping tracklets to form longer tracks. In the case of inconsistency, a larger window of frames is used to resolve the conflict. A final step of merging disjoint tracklets using a min-cost network flow algorithm is carried out to handle long term occlusion in the sequence. The second approach directly creates a network flow graph using potential correspondences in consecutive frames as the nodes. Our problem formulation readily lends itself to path estimation in a trellis graph, but unlike previous methods, each node in our network represents a candidate pair of matching observations between consecutive frames. Extra constraints on binary flow variables in the graph result in a problem that can no longer be solved by min-cost network flow. Therefore, we propose an iterative solution method that relaxes these extra constraints using Lagrangian relaxation, resulting in a series of problems that are solvable by min-cost flow, and that progressively improve toward a high-quality solution to our original optimization problem. We present quantitative experimental results demonstrating the superiority of our proposed algorithms over current state-of-the-art. We conclude the thesis with a discussion of the contributions of this work, and possible directions for future work. Advisors/Committee Members: Robert Collins, Committee Chair/Co-Chair, Yanxi Liu, Committee Member, Jesse Louis Barlow, Committee Member, Necdet S Aybat, Committee Member.

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 (6^th 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 (16^th 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 (7^th 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

URL: http://hdl.handle.net/10394/12266

► 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 (6^th 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 (16^th 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 (7^th 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

URL: https://trace.tennessee.edu/utk_graddiss/3933

► 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 (6^th 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 (16^th 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 (7^th 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

URL: https://epublications.marquette.edu/theses_open/375

► 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 (6^th 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 (16^th 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 (7^th 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

URL: http://hdl.handle.net/11244/320358

► 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)

▼ 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 a limited amount of transmit power-aperture per unit time to track a multitude of targets. A typical approach when tracking multiple dynamic targets is to time interleave the update intervals until all the radar tasks are performed. The advent of more agile sensors, such as digital-at-every-element apertures, opens the possibility for dynamic sensor resource allocation strategies to achieve better tracking performance in target-dense, resource-constrained scenarios. With proper research into aperture allocation, such as the analysis provided in this dissertation, an all-digital radar can intelligently exploit the degrees of freedom offered by all-digital radars to increase tracking performance. In this dissertation, we investigate adaptive aperture allocation for tracking a large number of targets. The strategies are first introduced with a parallel, linear channel model, then increased in realism with a non-linear measurement model, and finally applied to a full tracking system. We derive various strategies for allocating power and aperture, and compare their performance based on tracking related metrics. Finally, we investigate the relationship between the aperture allocation strategies and the target locations for multiple scenarios designed to represent the environment for a radar tracking system. This research provides groundbreaking strategies for optimal radar aperture allocation using the digital-at-every-element architectures to reduce the overall system uncertainty and decrease the uncertainty on a per-target basis. Integrating aperture allocation with the management of other degrees of freedom will increase multi-target tracking performance well beyond the current state of the art. Advisors/Committee Members: Goodman, Nathan (advisor), Fulton, Caleb (committee member), Yeary, Mark (committee member), Antonio, John (committee member), Sigmarsson, Hjalti (committee member).

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

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APA (6^th 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 (16^th 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 (7^th 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

URL: http://researchbank.rmit.edu.au/view/rmit:162545

► 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 (6^th 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 (16^th 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 (7^th 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

URL: http://researchbank.rmit.edu.au/view/rmit:162792

► 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)

▼ 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 affected the space environment and the development of the space industry. To ensure safe operation of space assets, Space Situational Awareness (SSA) has attracted considerable attention in recent years. One primary strategy in SSA is to establish and maintain a Space Object Catalogue (SOC) to provide timely updated data for SSA applications, e.g., conjunction analysis, collision avoidance manoeuvring. This thesis investigates three techniques for SOC maintenance, namely the tracklet association method for initial orbit determination, the multi-target tracking method for the refinement of orbital state estimation, and multi-sensor tasking method for the optimisation of sensor resources. Generally speaking, due to the limited number of optical sensors used to track the large population of space objects, the obtained observational arcs for many targets are very short. Such short arcs, which contain a small number of angular observations, are referred as tracklets. Given such limited data, typical orbit determination methods, e.g., Laplace, Gaussian, Double-R methods, may fail to produce a valid orbital solution. By contrast, tracklet association methods compare and correlate multiple tracklets across time, and following successful association, a reliable initial orbital state can be further determined for SOC maintenance. This thesis proposes an improved initial value problem optimisation method for accurate and efficient tracklet association, and a common ellipse method to distinguish false associations of tracklets from objects in the same constellation. The proposed methods are validated using real optical data collected from the Mount Stromlo Observatory, Canberra, Australia. Furthermore, another challenging task in SSA is to track multiple objects for the maintenance of a catalog. The Bayesian multi-target tracking filter addresses this issue by associating measurements to initially known or newly detected targets and simultaneously estimating the timevarying number of targets and their orbital states. In order to achieve efficient tracking of the new space objects, a novel birth model using the Boundary Value Problem (BVP) approach is proposed. The proposed BVP birth model is implemented in the Labelled Multi-Bernoulli (LMB) filter, which is an efficient multi-target tracker developed based on the Random Finite Set (RFS) theory, for improved computational efficiency of new space object tracking. Simulation results indicate that the computational efficiency of the proposed method significantly outperforms the state-of-the-art methods. Finally, as limited sensors are available for SOC maintenance, an appropriate sensor tasking scheme is essential for the optimisation of sensor resources. The optimal sensor tasking command allocates multiple sensors to take the best action and produce useful measurements for more accurate orbital state estimation.…

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 (6^th 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 (16^th 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 (7^th 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

URL: https://scholarbank.nus.edu.sg/handle/10635/154022

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 (6^th 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 (16^th 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 (7^th 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

URL: http://hdl.handle.net/10161/17478

► 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 (6^th 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 (16^th 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 (7^th 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

URL: http://www.escholarship.org/uc/item/9nv401pv

► 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)

▼ 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 considers three inter-related problems in this domain - tracking in a network of cameras, summarization of the collected videos, and algorithm design that is robust to the physical conditions of the environment and the hardware platforms on which they are implemented. The inter-relationships between various objects in the scene (termed as context) are explored in the developed solution strategies.In this thesis, we explore the problems of multi-target tracking in a wide-area scene, where the context information is shown to effectively improve the results because of the target interactions. We present a context-aware multi-target tracking algorithm in an overlapping camera network. The proposed algorithm is able to track multiple interacting targets in a wide-area camera network. From observations that both individuals and groups of targets interact with each other in natural scenes, we develop a Switching Network Tracker (SNT) that tracks both individuals and groups. In addition, due to the lack of the availability of public non-overlapping camera network datasets, we propose a new camera network tracking dataset (CamNeT) with multiple challenges. A baseline algorithm where the context information is considered is provided along with the dataset.We also explore the video summarization problem. In a wide-area scene, most of the data is redundant. Therefore, we develop an algorithm, Context-Aware Video Summarization (CAVS) algorithm, that can capture the important video portions through information about individual local motion regions, as well as the interactions between these motion regions (context information). The summarization problem is then solved as the methodology of sparse coding with generalized sparse group lasso. Moreover, although complex algorithms have been developed, there are few methods considering the real applications when there is a performance constraint. We study this fundamental problem in computer vision, which is to co-design the algorithm-platform for an unknown dataset under certain performance constraints. Our algorithm calculates a similarity between a test video and each unique training scenario. Similarity between training and test dataset indicates the same algorithm-platform can be applied to both of them. We test our algorithm on two applications: pedestrian detection and tracking.We conclude the thesis by highlighting future research directions.

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 (6^th 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 (16^th 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 (7^th 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

URL: http://dyuthi.cusat.ac.in/purl/5343

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

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

APA (6^th 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 (16^th 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 (7^th 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

URL: http://www.escholarship.org/uc/item/0s18p519

► 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)

▼ 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 and tracking, and real-time monitoring. The general problem of interest that we address is that of using small, fixed-wing UAVs to perform vision-based target tracking, which entails that one or more camera-equipped UAVs is responsible for autonomously tracking a moving ground target. In the single-UAV setting, the underactuated UAV must maintain proximity and visibility of an unpredictable ground target while having a limited sensing region. We provide solutions from two different vantage points. The first regards the problem as a two-player zero-sum game and the second as a stochastic optimal control problem. The resulting control policies have been successfully field-tested, thereby verifying the efficacy of both approaches while highlighting the advantages of one approach over the other. When employing two UAVs, one can fuse vision-based measurements to improve the estimate of the target's position. Accordingly, the second part of this dissertation involves determining the optimal control policy for two UAVs to gather the best joint vision-based measurements of a moving ground target, which is first done in a simplified deterministic setting. The results in this setting show that the key optimal control strategy is the coordination of the UAVs' distances to the target and not of the viewing angles as is traditionally assumed, thereby showing the advantage of solving the optimal control problem over using heuristics. To generate a control policy robust to real-world conditions, we formulate the same control objective using higher order stochastic kinematic models. Since grid-based solutions are infeasible for a stochastic optimal control problem of this dimension, we employ a simulation-based dynamic programming technique that relies on regression to form the optimal policy maps, thereby demonstrating an effective solution to a multi-vehicle coordination problem that until recently seemed intractable on account of its dimension. The results show that distance coordination is again the key optimal control strategy and that the policy offers considerable advantages over uncoordinated optimal policies, namely reduced variability in the cost and a reduction in the severity and frequency of high-cost events.

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 (6^th 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 (16^th 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 (7^th 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

URL: http://hdl.handle.net/11299/175532

► 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)

▼ 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 sector, and even in our homes. A key aspect that elevates a network of robots over a bed of sensors is the ability of individual units to autonomously navigate, forming a sensor-actuator network. These added degrees of freedom demand that we revisit existing motion planning and navigation algorithms and extend them to be able to better contribute to the services they are designed to provide. In deploying autonomous robots away from laboratory-controlled settings and in to real-world environments, care must be taken because they share their space with other autonomous agents. For instance, a typical home robot has to account for people as well as their pets. Imparting a fair degree of autonomy to robot navigation tasks thus requires reasoning about the mobility of other entities in the path-planning process. This is not a trivial task because such agents can not often be easily characterized or quantified, e.g. human navigation depends on many factors including the perception of hazards, experience from long-term memory, even whim. In this thesis, we take a deep look at the role of the information available to path-planning algorithms in the context of the mobile target-tracking problem. We start with the problem formulation (Chapter 2), in which robots need to keep track of a single mobile target for as long a duration of time as possible. In the game-theoretic sense, the information available to the target has a different characteristic than the information available to the robots. For example, target behavior varies from adversarial ones in defense applications to cooperative ones in service applications. In the chapters that follow, we present the main contributions of this thesis with this role of information during the path-planning process being the common thread. Traditional surveillance applications assume the worst-case – the target is an adversary actively trying to escape from the robots. We model this strategic interaction with the theory of pursuit-evasion games, wherein a robot pursues a target, which in turn tries to evade it. We study a mathematical variant of the Lion and Man game in the presence of an obstacle, and show that the final outcome of whether the lion can track down the man depends, in closed form, on the initial conditions (Chapter 3). We derive optimal player strategies that work regardless of what the other player does, thus providing the worst-case guarantees that such applications demand. At the opposite end of the spectrum, there exist service applications where the target’s trajectory is known to the robots before they need to move. Our motivating example is mobile telepresence, or virtual presence – an emerging technology that enables people to participate in environments they are not physically present in. Specifically, we present a navigation algorithm for a first-of-its-kind person-following robot with telepresence and monitoring…

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 (6^th 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 (16^th 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 (7^th 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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Open Access Theses and Dissertations