%0 Journal Article
%T MULTI-DISTRIBUTION MODEL FOR BACKGROUND SUBTRACTION IN LONG-TERM VIDEO SURVEILLANCE SYSTEM<br>长期视频监控系统的多分布模型背景差方法
%A CEN Feng
%A QI Fei-Hu
%A CHEN Mao-Lin
%A <br>岑峰
%A 戚飞虎
%J 红外与毫米波学报
%D 2002
%I Science Press
%X The basic performance requirement of exploiting background subtraction approach in long-term color video surveillance system was described. To meet the requirement, an algorithm was also proposed. In this approach, by using the multi-distribution models in lightness and chromaticity spaces,the background model was built. The multi-distribution models were then updated using independent mean and covariance updating rate and model replacing rate. When a pixel could be represented by more than one distribution model, the model which has the minimum similarity distance was updated. The approach also involves the detection of the sudden changes in illumination by the feedback of the information of foreground pixels and the suppression of shadow influenced by lightness information. Experiments show that the method satisfies the demands of long-term video surveillance.
%K background subtraction
%K background model
%K video surveillance
%K object tracking<br>背景差
%K 背景模型
%K 视频监控
%K 目标跟踪
%K 多分布模型
%K 运动目标
%K 图像处理
%K 像素
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=57149EAE5E51C393&yid=C3ACC247184A22C1&vid=659D3B06EBF534A7&iid=CA4FD0336C81A37A&sid=6AC2A205FBB0EF23&eid=E84BBBDDD74F497C&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=15&reference_num=7