Journal of University of Chinese Academy of Sciences >
Algorithm of object-tracking based on collaborative representation
Received date: 2015-01-07
Revised date: 2015-09-02
Online published: 2016-01-15
A new algorithm of object-tracking based on collaborative representation is proposed. Within Bayes framework,the robust tracker is presented using the observation likelihood model based on the error reconstruction and the updating scheme accounting for occlusion. The error reconstruction is modelled by the l1 norm to tolerate the outlier, and the code coefficients are regularized by collaborative representation. Experimental results show that the proposed algorithm solves the problems of occlusion, scale changing, varying illumination, and cluttered background with high accuracy and robustness.
WANG Haijun , ZHANG Shengyan . Algorithm of object-tracking based on collaborative representation[J]. Journal of University of Chinese Academy of Sciences, 2016 , 33(1) : 135 -143 . DOI: 10.7523/j.issn.2095-6134.2016.01.020
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