%0 Journal Article
%T A Background Reconstruction Algorithm Based on Pixel Intensity Classification<br>基于像素灰度归类的背景重构算法
%A HOU Zhi-Qiang
%A HAN Chong-Zhao
%A <br>侯志强
%A 韩崇昭
%J 软件学报
%D 2005
%I 
%X The background subtraction is an important method to detect the moving objects, and its difficulty is the background update. So a background reconstruction algorithm based on pixel intensity classification is presented in this paper. According to the hypothesis that the background pixel intensity appears in image sequence with maximum probability, the pixel intensity differences between sequential two frames are calculated, and the intensity values at the pixels are classified by means of these differences. For the new algorithm, neither the pre-training of the background without any moving target, nor the models of background and targets are needed. Simulation results indicate that background can be reconstructed correctly by using the new algorithm, so the target can be extracted perfectly and tracked successfully.
%K background subtraction
%K background reconstruction
%K motion detection
%K image segmentation
%K tracking
%K visual surveillance<br>背景差
%K 背景重构
%K 运动检测
%K 图像分割
%K 跟踪
%K 视频监视
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=E414E738863697BD&yid=2DD7160C83D0ACED&vid=7801E6FC5AE9020C&iid=9CF7A0430CBB2DFD&sid=E826542BD0A89666&eid=24F102A8BA6EDE6E&journal_id=1000-9825&journal_name=软件学报&referenced_num=51&reference_num=28