NDLI: Robust human body tracking using sparse representation

Content Provider	IEEE Xplore Digital Library
Author	Jinfu Yang Jinrong Fu Mingai Li
Copyright Year	2012
Description	Author affiliation: Department of Control Science and Engineering, Beijing University of Technology, Beijing, 100124, China (Jinfu Yang; Jinrong Fu; Mingai Li)
Abstract	Robust human body tracking is a challenging problem due to the presence of noise, occlusion and variation of illumination under a complex environment. A variety of tracking algorithms have been proposed to overcome these difficulties. In this paper, we propose a robust human body tracking method by casting tracking as a sparse approximation problem in a particle filter framework, namely robust sparse representation tracker (RSRPF). The problem of occlusion, corruption and illumination changes can be well addressed through a set of trivial templates. To further improve the tracking performance, non-negative constraints are enforced to filter out clutters which negatively resemble tracking targets. We test the proposed approach on three challenging sequences involving heavy occlusions, drastic illumination changes, and background clutter. Experimental results demonstrate that our tracking method is robust in handling occlusion, background clutter and illumination.
Starting Page	2384
Ending Page	2388
File Size	336279
Page Count	5
File Format	PDF
ISBN	9781467312752
e-ISBN	9781467312783
DOI	10.1109/ICMA.2012.6285718
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Computer vision Robustness Particle filters Lighting Clutter Vectors Trivial Templates Robust Human Body Tracking Sparse Representation Particle Filter
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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