%0 Journal Article
%T Tracking multiple objects in occlusions<br>遮挡情况下的多目标跟踪算法*
%A OUYANG Ning
%A YOU Jin-hai
%A MO Jian-wen
%A ZHANG Tongb
%A <br>欧阳宁
%A 游锦海
%A 莫建文
%A 张彤b
%J 计算机应用研究
%D 2010
%I 
%X In the video surveillance system, moving target often appears partial occlusion or complete occlusion due to the complexity of the background. To track multiple objects under the condition of occlusion, specific to the tracking of moving targets using Mean Shift algorithm in occlusion, this paper presented a new method with occlusion for object tracking. At first, found the starting position of Mean Shift with Kalman filter in every frame, and then utilized Mean Shift to track the target position. Used the mechanism of occlusion judgment and object searching to solve occlusion. Experimental results show that the algorithm is robust to solve occlusion problem.
%K Mean Shift
%K Kalman filter
%K object occlusion
%K object tracking<br>均值漂移
%K 卡尔曼滤波器
%K 目标遮挡
%K 目标跟踪
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1EB4AEA8101FB800A3FA77C55A92C6DC&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=94C357A881DFC066&sid=36250D1D6BDC99BD&eid=4E65715CCF57055A&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=6