NDLI: Differential EMD Tracking

Content Provider	IEEE Xplore Digital Library
Author	Qi Zhao Brennan, S. Hai Tao
Copyright Year	2007
Description	Author affiliation: Univ. of California at Santa Cruz, Santa Cruz (Qi Zhao; Brennan, S.; Hai Tao)
Abstract	Illumination changes cause object appearance to change drastically and many existing tracking algorithms lack the capability to handle this problem. The Earth mover's distance (EMD) is a similarity measure that is more robust against illumination changes. However, EMD is computationally expensive and we therefore propose the differential EMD (DEMD) algorithm which computes the derivative of the EMD with respect to the object location so that the EMD does not need to be computed for every location in the tracking window. The fast differential formula is derived based on the sensitivity analysis of the simplex method as applied to the EMD formula. To further reduce the computation, signatures, i.e., variable-size descriptions of distributions, are employed as an object representation. The new algorithm models local background scenes as well as foreground objects to handle scale changes in a principled way. Extensive quantitative evaluation of the proposed algorithm has been carried out using benchmark sequences and the improvement over the standard mean shift tracker is demonstrated.
Starting Page	1
Ending Page	8
File Size	497811
Page Count	8
File Format	PDF
ISBN	9781424416301
ISSN	15505499
DOI	10.1109/ICCV.2007.4409033
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-14
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lighting Layout Photometry Sensitivity analysis Optical computing Linear programming Kernel Earth Robustness Distributed computing
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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