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Scalable real-time multi-target tracking and its implementation on DSPZhang, Li, 張力 January 2015 (has links)
While various online multi-target tracking methods have been proposed recently, most of their runtime speed struggle at 1-10 frames per second for moderate crowded scenes. In this thesis, we present a novel real-time multi-target tracking system based on the tracking-by-detection framework. Our system is designed for tracking a variable number of interacting targets from a single, static, above shoulder camera, which is a general setting for video surveillance. One challenge in our approach is that when background subtraction is used for detecting moving targets, merged measurements occur frequently because of target interactions. To cope with the problem, we propose to use correlation filter based object detector to robustly separate the targets in merged measurements. Then, online object tracking assisted data association is used to solve the track-measurement assignment. To reduce computation load, our object tracking algorithm is assisted by correlations filter based trackers which share the same features used by our object detector. In addition, to recover partially occluded targets, we allow unconfident detections to be assigned to tracks whilst care is taken to avoid introducing additional false positives. We also analyze the online approximation to multi-channel correlation filters. Our experiments show that exact solution is more resistant to noisy channels than approximate solution. Evaluation on generally accepted datasets reveals that the proposed system is comparable to state-of-the-art methods in terms of performance while running several magnitudes faster.
Additionally, we show that the proposed system can be readily implemented on the Texas Instruments TMS320C6678 DSP (C6678) without significant degradation in speed or performance. Details on efficient implementation of the system is also discussed. Especially, for computing Histogram of Oriented Gradients (HOG) feature, our optimized implementation runs at 60fps on VGA images on a single core of C6678, which is 10 times faster than a directly ported implementation. / published_or_final_version / Computer Science / Master / Master of Philosophy
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Temporal spatio-velocity transform and its applicationsSato, Koichi, January 1900 (has links) (PDF)
Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.
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Human visual tracking in surveillance videoLuo, Tao, 羅濤 January 2014 (has links)
Visual surveillance in dynamic scenes, especially for human activities, is one of the current challenging research topics in computer vision. It is a key technology to fight against terrorism and crime to ensure public safety. The motivation of this thesis is to design an efficient human visual tracking system for video surveillance deployed in complex environments.
In video surveillance, detection of moving objects is the first step to analyze the video streams. And motion segmentation is one of popular approaches to do it. In this thesis, we propose a motion segmentation method to overcome the problem of motion blurring.
The task of human tracking is key to the effective use of more advanced technologies, like activity recognition and behavior understanding. However, human tracking routines often fail either due to human's arbitrary movements or occlusions by other objects. To overcome human's arbitrary movement, we propose a new Silhouette Chain Shift model for human detection and tracking. To track human under occlusions, firstly each frame is represented by a scene energy which consists of all the moving objects. Then the process of tracking is converted to a process of minimizing the proposed scene energy.
Findings from the thesis contribute to improve the performance of human visual tracking system and therefore improve security in areas under surveillance. / published_or_final_version / Computer Science / Doctoral / Doctor of Philosophy
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Temporal spatio-velocity transform and its applicationsSato, Koichi 28 August 2008 (has links)
Not available / text
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Knowledge-based fusion techniques in automatic target recognition /Filippidis, Arthur Unknown Date (has links)
Thesis (PhD) -- University of South Australia, 1999
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Effects of target's acceleration on alpha-beta tracking filters /Hoffman, Leo Henry, January 1990 (has links)
Project report (M. Eng.)--Virginia Polytechnic Institute and State University, 1990. / Vita. Abstract. Includes bibliographical references (leaf 71). Also available via the Internet.
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A location-guided mobile robot control platform /Liu, Ran. January 2005 (has links)
Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2005. / Includes bibliographical references (leaves 130-136). Also available in electronic version.
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Design of an automated calibration device for electromagnetic tracking systemsCole, Gareth Douglas, January 2007 (has links) (PDF)
Thesis (M.S. in mechanical engineering)--Washington State University, May 2007. / Includes bibliographical references (p. 88-89).
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Object tracking using distribution field with correlation coefficientsQin, Peng January 2017 (has links)
University of Macau / Faculty of Science and Technology / Department of Computer and Information Science
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Preview-based system-inversion for output-tracking : theory & application /Zou, Qingze. January 2003 (has links)
Thesis (Ph. D.)--University of Washington, 2003. / Vita. Includes bibliographical references (p. 198-207).
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