%0 Journal Article
%T Video Object Segmentation Based on MAP of Pixel Blocks<br>基于像素块最大后验概率的视频对象分割方法
%A LIU Shaohu
%A ZHANG Maojun
%A ZHI Liding
%A <br>刘少华
%A 张茂军
%A 智利丁
%J 中国图象图形学报
%D 2009
%I 
%X A video object segmentation method based on MAP (maximum a posteriori) of pixel blocks is proposed. Firstly, a reference frame is built from three continuous frames and a pixel block-based difference image is calculated. Secondly, a pixel block-based difference image is described by Gibbs random field model, the moving object blocks are detected by MAP. Last, the contour of the moving object is extracted by the snake method. The experiments results show that the algorithm can avoid the losing and mistakes with a good speed.
%K 像素块
%K 视频对象分割
%K 最大后验概率
%K Gibbs随机场
%K snake模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=15FD85BF744A4AE6089C53717A7B309C&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=CA4FD0336C81A37A&sid=F122871CC7EC92DC&eid=B47A0E731AF43EB2&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=12