NDLI: Face tracking using color histograms and moment invariants

Content Provider	IEEE Xplore Digital Library
Author	Gao Junxiang Zhou Tong Liu Yong
Copyright Year	2009
Description	Author affiliation: School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China (Gao Junxiang; Zhou Tong; Liu Yong)
Abstract	This paper presents a face-tracking algorithm based on particle filter framework. Firstly, a target state is obtained using conventional color histograms. Secondly, a tracking method is proposed on the basis of seven moment invariants, and another state vector is also computed using this approach. Furthermore, the weights of the two state vectors are computed according to Euclidean distance between the predictive state and the two states obtained in previous steps. Finally, the weighted average of the state vectors gives the exact state of the target. Experimental results over a set of real-world sequences show that the proposed method outperforms single-feature solution. In particular, the weakness of losing target is overcome, which improves the reliability and robustness of the tracker.
Starting Page	519
Ending Page	523
File Size	170190
Page Count	5
File Format	PDF
ISBN	9781424445905
DOI	10.1109/ICBNMT.2009.5347867
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Moment invariants Filtering Telecommunication computing Pattern recognition Face tracking Particle tracking Histograms Euclidean distance Particle filters Robustness State estimation 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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