NDLI: Tracking Nonstationary Visual Appearances by Data-Driven Adaptation

Content Provider	IEEE Xplore Digital Library
Author	Ming Yang Zhimin Fan Jialue Fan Ying Wu
Copyright Year	1992
Abstract	Without any prior about the target, the appearance is usually the only cue available in visual tracking. However, in general, the appearances are often nonstationary which may ruin the predefined visual measurements and often lead to tracking failure in practice. Thus, a natural solution is to adapt the observation model to the nonstationary appearances. However, this idea is threatened by the risk of adaptation drift that originates in its ill-posed nature, unless good data-driven constraints are imposed. Different from most existing adaptation schemes, we enforce three novel constraints for the optimal adaptation: (1) negative data, (2) bottom-up pair-wise data constraints, and (3) adaptation dynamics. Substantializing the general adaptation problem as a subspace adaptation problem, this paper presents a closed-form solution as well as a practical iterative algorithm for subspace tracking. Extensive experiments have demonstrated that the proposed approach can largely alleviate adaptation drift and achieve better tracking results for a large variety of nonstationary scenes.
Sponsorship	IEEE Signal Processing Society
Page Count	12
File Size	2081110
Starting Page	1633
Ending Page	1644
File Format	PDF
ISSN	10577149
Volume Number	18
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Laboratories Closed-form solution Iterative algorithms Layout Adaptation model Video surveillance Lighting Shape National electric code visual tracking Appearance model adaptation subspace tracking
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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