%0 Journal Article
%T New Efficient Automatic VOP Segmentation Based on Spatio-temporal Information<br>一种有效的基于时空联合的视频对象自动分割新算法
%A GAO Li~
%A <br>高丽
%A 杨树元
%A 李海强
%J 中国图象图形学报
%D 2005
%I 
%X On the base of combining change-detection-based segmentation approach and spatial edge information by canny edge detection,an algorithm is proposed in which local contrast enhancement is applied to improve the contrast between foreground object and background in the pre-processing stage,and the problem caused by low contrast is solved.A filter was designed to remove a small quantity of noise caused by contrast enhancement;Then for the complex background,the algorithm utilizes probability-based classification to accumulate the background information,which it is needed by the original segmentation algorithm,and consequently realizes the capturing of background information automatically; Finally,the paper proposed that three situation should be discussed in the process of accumulating background information.The proposed algorithm is evaluated on several MPEG- 4 test sequences and produces promising results.
%K video segmentation
%K canny edge detection
%K contrast strengthen
%K probability-based classification<br>视频分割
%K Canny边缘检测
%K 对比度增强
%K 随机信号的检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=CFE4C7F724C43346&yid=2DD7160C83D0ACED&vid=F3090AE9B60B7ED1&iid=9CF7A0430CBB2DFD&sid=BE1F29C193C78397&eid=E26AA41AE15D3061&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=2&reference_num=15