%0 Journal Article
%T Object tracking with opponent color LBP model<br>对立色LBP模型的目标跟踪
%A Zhang Jiong
%A Ning Jifeng
%A Yan Yongfeng
%A Yu Wei
%A <br>张炯
%A 宁纪锋
%A 颜永丰
%A 于伟
%J 中国图象图形学报
%D 2012
%I 
%X The target representation method of a tracked target has great influence on the robustness of the tracking algorithm. In this paper,we introduce a new texture feature called Opponent Color Local Binary Patterns (OCLBP). By analyzing the correlation among different color channels and all the ten texture patterns of the OCLBP, we select the texture histogram of the key points which correspond to only the seven major patterns of the OCLBP to represent the target candidate region.Finally, this model is integrated into the mean shift framework for object tracking. The experimental results illustrate that the proposed major OCLBP patterns based method can significantly improve the performance of Mean Shift object tracking algorithm.
%K object tracking
%K Mean Shift
%K OCLBP
%K key points<br>目标跟踪
%K 均值漂移
%K 对立色局部二值模式
%K 关键点
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=37D4B66310E46B8387D8967535087059&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=708DD6B15D2464E8&sid=782B98DFA363AFCB&eid=AFD02B86BFB3C7FC&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=14