%0 Journal Article
%T Video Based Motion Capture<br>基于视频的运动捕获
%A LUO Zhong-xiang
%A ZHUANG Yue-ting
%A PAN Yun-he
%A LIU Feng
%A <br>罗忠祥
%A 庄越挺
%A 潘云鹤
%A 刘峰
%J 中国图象图形学报
%D 2002
%I 
%X Motion capture has been one of the most promising technologies in character animation in recent years. However, most currently available motion capture approaches suffer from costly equipment and motion restriction caused by markers. To overcome these problems, a novel approach to extract 3D motion from video using vision technology is presented. The key issues, such as feature tracking and 3D reconstruction, are deeply studied. A model-based feature racking algorithm, which utilizes Kalman filter to predict coordinates of image features and epipolar line equation to aid tracking, is presented to track human motion with great variety. A non-coplanar nonlinear calibration model and a reconstruction approach taken uncertainty into consideration are applied to restore 3D human skeleton model. At last the experimental results and analysis of our VBHA (Video Based Human Animation) system demonstrate the feasibility and effectiveness of our approaches.
%K Video based animation
%K Motion capture
%K Feature tracking
%K 3D reconstruction<br>视频动画
%K 运动捕获
%K 特征跟踪
%K 三维重建
%K 三维人体运动序列
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=9E82008A79A4FD00&yid=C3ACC247184A22C1&vid=DF92D298D3FF1E6E&iid=5D311CA918CA9A03&sid=DB7D5E75BD4E2480&eid=895BB10EB8F3BD49&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=11&reference_num=10