%0 Journal Article
%T Camshift Tracker Based on Multiple Color Distribution Models<br>基于多个颜色分布模型的Camshift跟踪算法
%A ZUO Jun-Yi
%A LIANG Yan
%A Pan Quan
%A ZHAO Chun-Hui
%A ZHANG Hong-Cai
%A <br>左军毅
%A 梁彦
%A 潘泉
%A 赵春晖
%A 张洪才
%J 自动化学报
%D 2008
%I 
%X Traditional Camshift tracker based on a single color histogram model is not robust to appearance changes of the target caused by changing viewpoint.To tackle the problem,a possible way is to use a model with more powerful representation ability.In this paper,we model the target with multiple color distributions according to prior knowledge of the target and then design a cost function.Through minimizing the cost function,the optimal model is selected in real time from the convex combination of model sets for tracking in the next frame.In addition,when researching Camshift tracker in detail,we find the relationship between the average intensity of probability image and the color distribution histogram of image pitches,which helps to illuminate the mechanism of model selecting process.Experimental results conducted on head sequences demonstrate our tracker can deal with dramatic appearance changes of target in an elegant manner with low computational cost when compared with Camshift tracker with a single fixed model or single adaptive model.
%K Target tracking
%K probability image
%K Camshift
%K multiple model<br>目标跟踪
%K 概率图
%K 均值漂移
%K 多模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=EF3E6F27736B93D92EC7D2ABB1010283&yid=67289AFF6305E306&vid=339D79302DF62549&iid=DF92D298D3FF1E6E&sid=FA98B938D085B826&eid=81D76BB45305F8B7&journal_id=0254-4156&journal_name=自动化学报&referenced_num=8&reference_num=10