%0 Journal Article
%T Algorithm of target tracking based on Mean-Shift with adaptive bandwidth of kernel function<br>核函数带宽自适应的Mean-Shift跟踪算法
%A CHEN Chang-tao
%A ZHU Qin
%A ZHOU Sheng-yi
%A ZHANG Jia-ming
%A <br>陈昌涛
%A 朱勤
%A 周圣毅
%A 张家铭
%J 计算机应用
%D 2009
%I 
%X To achieve adaptive bandwidth of kernel function in Mean-Shift tracking algorithm, a new method based on comparing Bhattacharyya coefficients was proposed, in which, the Bhattacharyya coefficient was firstly computed out by using of center weighted and edge weighted histograms of template image, and then, a new Bhattacharyya coefficient during tracking was computed out according to the edge weighted histogram of candidate image and center weighted histogram of template image, finally 10% of the bandwidth of kernel function was expanded or shrunk by comparing two coefficients. The experiment results show that the method can avoid the problem of nonstop shrinking bandwidth effectively, and adapt tracking window to the change of the target size successfully.
%K Mean-Shift algorithm
%K target tracking
%K kernel bandwidth
%K image histogram
%K adaptive<br>Mean-Shift算法
%K 目标跟踪
%K 核函数带宽
%K 直方图
%K 自适应性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=21A5308E7CAB56E49F4951CFF81A1F72&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=B31275AF3241DB2D&sid=BCF7BCA77FA8F9BA&eid=BFDA25D5ECAB4246&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=7