%0 Journal Article
%T A Hybrid Algorithm of Object Tracking Based on Color Distribution<br>一种基于颜色分布的混合视频跟踪方法
%A Lu Xiao-peng
%A Yin Xue-min
%A Zou Mou-yan
%A <br>卢晓鹏
%A 殷学民
%A 邹谋炎
%J 电子与信息学报
%D 2008
%I 
%X Though traditional meanshift method has the virtue of simplicity and availability, it does not work well when the target gets an occlusion. In the meanwhile, particle filter can solve this problem easily. Unfortunately, its performance relies heavily on the numbers of the used particles. It makes the tracking technique by particle filtering have difficulty in satisfying the requirement of real time computing, To settle the problem, this article brings about a hybrid algorithm by combining the mean shift and the particle filter tracking technique on the basis of the color histogram distribution. By adopting the strategy that the number of particles is adaptively determined, it amalgamates the virtues of the two techniques. It reduces the computational cost and ensures the performance simultaneously. The experimental results show that the proposed method is effective and robust.
%K Object tracking
%K Mean shift
%K Particle filter
%K Bhattacharyya coefficient
%K Color histogram distribution<br>目标跟踪
%K Mean
%K shift
%K 粒子滤波
%K Bhattacharyya相似系数
%K 颜色直方图分布
%K 颜色分布
%K 混合
%K 视频
%K 跟踪方法
%K Color
%K Distribution
%K Based
%K Object
%K Tracking
%K 目标跟踪
%K 验证
%K 跟踪系统
%K 设计
%K 时间
%K 跟踪效果
%K 跟踪算法
%K 融合
%K 采样策略
%K 样本数
%K 选择
%K 自适应
%K 颜色直方图
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=ED08C5BD7376DAEFFD2E6FB4D9E7F797&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=0B39A22176CE99FB&sid=0F7768518993EDDE&eid=30897FA31CA3354D&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=7