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Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 1879489, 11 pages
http://dx.doi.org/10.1155/2016/1879489
Research Article

Adaptive Randomized Ensemble Tracking Using Appearance Variation and Occlusion Estimation

Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received 30 October 2015; Revised 30 December 2015; Accepted 4 January 2016

Academic Editor: Daniel Zaldivar

Copyright © 2016 Weisheng Li and Yanjun Lin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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