%0 Journal Article
%T Automatic segmentation and tracking of moving object<br>运动目标的自动分割与跟踪
%A Liu Minggang
%A Hou Chaohuan
%A <br>刘明刚
%A 侯朝焕
%J 电子与信息学报
%D 2002
%I 
%X A new automatic video sequence segmentation algorithm that extracts moving objects is presented in this paper. The algorithm exploits the local variation in the L*u*v* space, and combines it with motion information to separate foreground objects from the background. A new image segmentation algorithm based on graphic-theoretic approach is first employed to generate various regions according to local variation. Next, moving regions are identified by a new filter criterion, which measures the deviation of the estimated local motion from the synthesized global motion. In order to increase the temporal and spatial consistency of extracted objects, moving regions are tracked by a region-based affine motion model. A two-dimensional binary model is derived for the objects and tracked throughout the sequence by a Hausdorff object tracker. The proposed algorithm is evaluated for several typical MPEG-4 test sequences. Experimental results demonstrate the performance of the proposed algorithm.
%K Content-based functionalities
%K MPEG-4
%K Video sequence segmentation
%K Object tracking
%K Video object planes
%K Motion detection<br>MPEG－4
%K 视频序列分割
%K 目标跟踪
%K 视频目标平面
%K 运动检测
%K 运动目标
%K 鲁棒性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=03C79D1DB98C8059&yid=C3ACC247184A22C1&vid=B91E8C6D6FE990DB&iid=5D311CA918CA9A03&sid=9F481C73BF82C48F&eid=7AD2D1CE7CD34BB7&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=6&reference_num=17