%0 Journal Article
%T Improved target tracking algorithm based on Mean-shift<br>基于Mean-shift的改进目标跟踪算法
%A ZHANG Ling
%A JIANG Da-yong
%A HE Wei
%A ZHOU Yang
%A <br>张玲
%A 蒋大永
%A 何伟
%A 周阳
%J 计算机应用
%D 2008
%I 
%X Traditional Mean-shift target tracking algorithm is rather sensitive to background environment. The use of kernel weighted histogram for target template and target candidates can not always get exact center of the target. Therefore, an improved feature selection mechanism was proposed, in which background weighted histogram was chosen for target template and kernel weighted histogram for target candidates. The simulation results show that the method achieves more accurate target tracking in complex environments.
%K Mean-shift algorithm
%K target tracking
%K kernel weighted
%K image histogram
%K target template<br>Mean-shift算法
%K 目标跟踪
%K 核加权
%K 直方图
%K 目标模板
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=3A9AD782A606C92A88B2AEA94BBA7BC1&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=59906B3B2830C2C5&sid=188F872C89A1B825&eid=259C2F715CA6B505&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=7