%0 Journal Article
%T Algorithm of Adaptive Kernel-Bandwidth for Mean-Shift Based on Boundary Force<br>基于边界力的Mean-Shift核窗宽自适应算法
%A QIN Jian
%A ZENG Xiao-Ping
%A LI Yong-Ming
%A <br>覃剑
%A 曾孝平
%A 李勇明
%J 软件学报
%D 2009
%I 
%X An adaptive scale updating algorithm based on boundary force is presented to improve the deficiency that the kernel-bandwidth of Mean-Shift is not changeable. Based on the analysis of weighted histogram of the target feature, this paper introduces a region likelihood to extract local information of the target. Then, by comparing the region likelihood in successive frames, it constructs a boundary force to locate the boundary points of the target model and updates the bandwidth of kernel-function adaptively. The experimental results show that the proposed method improves the effect of Mean-Shift when the size or shape of target changes and satisfies the real-time request.
%K Mean-Shift
%K object tracking
%K boundary force
%K adaptive bandwidth<br>中值漂移
%K 目标跟踪
%K 边界力
%K 自适应带宽
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=11D0FFF1A4072BAAD507D48338F25DA5&yid=DE12191FBD62783C&vid=A04140E723CB732E&iid=DF92D298D3FF1E6E&sid=C61B615AE87CE464&eid=09614E07E1BC4184&journal_id=1000-9825&journal_name=软件学报&referenced_num=2&reference_num=13