收稿日期: 2015-01-07
修回日期: 2015-09-02
网络出版日期: 2016-01-15
基金资助
山东省自然科学基金高校、科研单位联合专项计划项目(ZR2015FL009,ZR2014FL020)、滨州市科技发展计划项目(2013ZC0103)和滨州学院科研基金(BZXYG1524)资助
Algorithm of object-tracking based on collaborative representation
Received date: 2015-01-07
Revised date: 2015-09-02
Online published: 2016-01-15
王海军 , 张圣燕 . 基于协同表示的目标跟踪算法[J]. 中国科学院大学学报, 2016 , 33(1) : 135 -143 . DOI: 10.7523/j.issn.2095-6134.2016.01.020
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.
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