%0 Journal Article
%T A Hierarchical Mean Shift Algorithm for Object Tracking<br>一种分层Mean Shift目标跟踪算法
%A XU Hai-Xia WANG Yao-Nan YUAN Xiao-Fang ZHOU Wei ZHU Jiang School of Electrical
%A Information Engineering
%A Hunan University
%A Changsha School of Information Engineering
%A Xiangtan University
%A Xiangtan
%A <br>许海霞
%A 王耀南
%A 袁小芳
%A 周维
%A 朱江
%J 自动化学报
%D 2009
%I 
%X We propose a hierarchical mean shift (HMS) algorithm for object tracking. Firstly, cluster modal points are obtained by mean-shift iteratively processing all the data points in the region so that they can represent foreground object in a succinct manner. The target model and the target candidate model are described by the cluster modal points, and match processes of clustered blocks are performed. Then, on the basis of cluster blocks match, similarity measure function is set up to match between target model and target candidate at pixel level. And the pixel shift vector of target is calculated with the introduction of the neighborhood consistency concept. So, the centroid of tracking object is got layer by layer in the consecutive frames, and the HMS match iteration for object tracking is presented. Experimental comparisons with other two MS algorithms demonstrate the validity and performance of the proposed algorithm.
%K Object tracking
%K hierarchical mean shift (HMS)
%K cluster modal point
%K match<br>目标跟踪
%K 分层Mean
%K shift
%K 聚类模式点
%K 匹配
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=F3DEAEFE19D20ADB1EF43A59160B8F09&yid=DE12191FBD62783C&vid=6209D9E8050195F5&iid=E158A972A605785F&sid=238BD7580EFCC5AE&eid=0493D643315CD829&journal_id=0254-4156&journal_name=自动化学报&referenced_num=3&reference_num=0