NDLI: Object Tracking with Sparse Representation and Annealed Particle Filter

Content Provider	IEEE Xplore Digital Library
Author	Ying Wang Xiangyang Wang Wanggen Wan
Copyright Year	2013
Description	Author affiliation: Sch. of Commun. & Inf. Eng., Shanghai Univ. Inst. of Smart City, Shanghai, China (Ying Wang; Xiangyang Wang; Wanggen Wan)
Abstract	In this paper, we propose a new visual tracking algorithm, SRAPF, for object tracking, which is based on sparse representation and annealed particle filter. To find the tracking target at a new frame, each target candidate is sparsely represented by target templates and trivial templates. The sparsity is achieved by solving a l1-regularized least squares problem. After that, Instead of tracking objects in the common particle filter framework, we solve the sparse representation problem in an annealed particle filter framework. Then the candidate with the largest likelihood is taken as the tracking target. In the APF framework, the sampling covariance and annealing factor items are incorporated into the tracking process. The annealing strategy can achieve "Smart sampling" to avoid generating invalid particles corresponding to impossible target object. Both qualitative and quantitative evaluations on challenging image sequences demonstrate that the proposed tracking algorithm performs better in comparison with the L1 tracking algorithm.
Starting Page	374
Ending Page	379
File Size	1234284
Page Count	6
File Format	PDF
ISBN	9780769550503
DOI	10.1109/ICIG.2013.81
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Annealing Target tracking regularized least squares Object Tracking Sparse Representation Particle filters Robustness Mathematical model Annealed Particle Filter
Content Type	Text
Resource Type	Article

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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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