%0 Journal Article
%T Adaptive Background Model for Motion Detection Based on Statistic of Probability<br>基于概率统计自适应背景模型的运动目标检测方法
%A XU Dong-bin
%A LIU Chang-ping
%A HUANG Lei
%A <br>徐东彬
%A 刘昌平
%A 黄磊
%J 中国图象图形学报
%D 2008
%I 
%X This paper proposed an adaptive background model for motion detection based on statistic information of probabilities.The approach can select thresholds of foreground and background adaptively and adapt to different scenes without training samples and human concerned.By using statistic information of historical pixels to update background can deal with moved/inserted objects in background.Meanwhile,a background model updated according to statistical characteristic is also provided in this paper.It gets ideal background and good detection results.Experimental results demonstrate the proposed algorithms can get relative good background and improve detection results for different scenes.
%K motion detection
%K adaptive background
%K updated by probability
%K statistic information<br>运动检测
%K 自适应背景
%K 概率更新
%K 统计信息
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=B67F250C29EE74393C4B903B1D6CE825&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=0B39A22176CE99FB&sid=381FB4265090A8E0&eid=EF78DD85C21CB57F&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=12