%0 Journal Article
%T An Approach to Video Object Extraction in the Compressed Domain<br>基于压缩域的视频关注对象提取
%A PAN Cheng-wen
%A ZHANG Zhao-yang
%A SHI Xu-li
%A SHEN Li-quan
%A <br>潘琤雯 张兆扬
%A 石旭利
%A 沈礼权
%J 中国图象图形学报
%D 2009
%I 
%X In this paper, we propose a new method to segment video object. Firstly, we smooth each frame with the mean-shift and region-growing method. And then, the motion vectors which are released by video coding are used to extract a moving object. Finally, the object segmentation method proposed in this paper is used to extract the video attention object. Experimental results show that the proposed method can effectively separate the video object from the sequence and has the strong robustness in multi-targets tracking especially for switching targets and deformed objects.
%K mean-shift
%K information entropy
%K motion vector
%K object extraction<br>均值偏移
%K 信息熵
%K 运动矢量
%K 对象提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=59B70E1D14F269C65CFADBD48DF0DDBD&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=F3090AE9B60B7ED1&sid=8A8DB82504ECDC7B&eid=31F0F67D06CBAD76&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=8