%0 Journal Article
%T Illumination robust Mean Shift tracking<br>光照鲁棒的Mean Shift跟踪方法
%A WANG Lu
%A YANG Lin-yun
%A ZHUO Qing
%A WANG Wen-yuan
%A <br>王路
%A 阳琳赟
%A 卓晴
%A 王文渊
%J 计算机应用
%D 2008
%I 
%X A new illumination robust Mean Shift tracking method was proposed. This method combined color feature and local binary pattern feature to describe the target. The illumination invariant characteristic of local binary pattern made the model more robust. To avoid the unstable bin-to-bin similarity applied in the original Mean Shift tracking method, a cross-bin similarity was used to make the feature matching more stable. Experiments show that the proposed method is robust than the original Mean Shift tracking method under illumination changes.
%K visual tracking
%K mean shift
%K illumination
%K local binary pattern
%K cross-bin similarity<br>目标跟踪
%K Mean
%K Shift
%K 光照
%K 局部二元模式
%K cross—bin度量
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=86E7C9CD9C5B0B2D6DBBB05A1BC74A5E&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=DF92D298D3FF1E6E&sid=711D1EBABC3BFF4F&eid=C3D6C7213B2FE390&journal_id=1001-9081&journal_name=计算机应用&referenced_num=3&reference_num=7