NDLI: Object Tracking via 2DPCA and <formula formulatype=inline> <tex Notation=TeX>$ell

Content Provider	IEEE Xplore Digital Library
Author	Dong Wang Huchuan Lu
Copyright Year	1994
Abstract	In this letter, we present a novel online object tracking algorithm by using 2DPCA and ℓ₁ -regularization. Firstly, we introduce ℓ₁-regularization into the 2DPCA reconstruction, and develop an iterative algorithm to represent an object by 2DPCA bases and a sparse error matrix. Secondly, we propose a novel likelihood function that considers both the reconstruction error and the sparsity of the error matrix. This likelihood function not only handles partial occlusion effectively but also encourages the tracked object to be well-aligned. Finally, to further reduce tracking drift, we enhance the tracker updates by considering the sparsity of the error matrix. Based on our observations, a dense error matrix usually relates to partial occlusion or mis-alignment. Both qualitative and quantitative evaluations on challenging image sequences demonstrate that the proposed tracking algorithm achieves more favorable performance than several state-of-the-art methods.
Sponsorship	IEEE Signal Processing Society
Starting Page	711
Ending Page	714
Page Count	4
File Size	917239
File Format	PDF
ISSN	10709908
Volume Number	19
Issue Number	11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sparse matrices Principal component analysis Image reconstruction Computational modeling Optimization Iterative methods $\ell_{1}$ -regularization Appearance model object tracking principal component analysis (PCA) 2DPCA
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Signal Processing Electrical and Electronic Engineering

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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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