%0 Journal Article
%T Studies on Moving Object Segmentation Based on Information Fusion in Video Sequences<br>基于信息融合的视频序列图像中运动目标分割的研究
%A Xie Min
%A Huang Xian-wu
%A Zhong Xing-rong
%A Wang Jia-jun
%A <br>谢敏
%A 黄贤武
%A 仲兴荣
%A 王加俊
%J 电子与信息学报
%D 2004
%I 
%X A method extracting moving object is proposed by utilizing the information fusion. Color image segmentation primarily uses a non-parametric clustering method based on partial space information intervening iterative mean shift procedure. A way of finding connected areas with identical marks is introduced to divide the image into different independent areas. HOS(Higher-Order Statistics) is used for motion detection. Then through post-processing, A rough motion template can be got. In such a template, the ratio of regions with identical marks to the corresponding independent region in the original image can be computed. If the ratio is larger than a predetermined threshold, the corresponding independent region will be fused. Finally, the moving object can be extracted by fusing all the predetermined regions to be fused.
%K Density gradient estimation
%K Mean-shift procedure
%K Higher-Order Statis- tics(HOS)<br>密度梯度估计
%K 均值偏移过程
%K 高阶统计量
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=158EFCEB86BA747B&yid=D0E58B75BFD8E51C&vid=96C778EE049EE47D&iid=0B39A22176CE99FB&sid=7737D2F848706113&eid=E3094127AA4ABC1A&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=6