%0 Journal Article
%T Object Tracking by Anisotropic Kernel Mean Shift<br>基于各向异性核函数的均值漂移跟踪算法
%A Qi Su-min
%A Huang Xian-wu
%A Yi Huai-feng
%A <br>齐苏敏
%A 黄贤武
%A 伊怀峰
%J 电子与信息学报
%D 2007
%I 
%X Mean shift, an iterative procedure that shifts each data point to the average of data points in its neighborhood, has been applied to object tracking. However, with the changing structure of object in video sequences, traditional mean shift tracker by isotropic kernel often loses the object, especially when object structure varies fast. This paper implements object tracking with anisotropic kernel mean shift in which the shape, scale, and orientation of the kernels adapt to the changing object structure. The algorithm ensures tracking robust and real-time. Experimental results show it is effective.
%K Object tracking
%K Mean shift
%K Anisotropic kernel
%K Modal matching<br>目标跟踪
%K 均值漂移
%K 各向异性核函数
%K 模板匹配
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=064660CEE8AF984A&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=38B194292C032A66&sid=710C005323C0774A&eid=128B7AEF80A42C95&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=2&reference_num=8