%0 Journal Article
%T Learning-based tracking of complex non-rigid motion<br>Learning-Based Tracking of Complex Non-Rigid Motion
%A Qiang Wang
%A Hai-Zhou Ai
%A Guang-You Xu
%A <br>QiangWang
%A Hai-ZhouAi
%A Guang-YouXu
%J 计算机科学技术学报
%D 2004
%I 
%X This paper describes a novel method for tracking complex non-rigid motions by learning the intrinsic object structure. The approach builds on and extends the studies on non-linear dimensionality reduction for object representation, object dynamics modeling and particle filter style tracking. First, the dimensionality reduction and density estimation algorithm is derived for unsupervised learning of object intrinsic representation, and the obtained non-rigid part of object state reduces even to 2–3 dimensions. Secondly the dynamical model is derived and trained based on this intrinsic representation. Thirdly the learned intrinsic object structure is integrated into a particle filter style tracker. It is shown that this intrinsic object representation has some interesting properties and based on which the newly derived dynamical model makes particle filter style tracker more robust and reliable. Extensive experiments are done on the tracking of challenging non-rigid motions such as fish twisting with self-occlusion, large inter-frame lip motion and facial expressions with global head rotation. Quantitative results are given to make comparisons between the newly proposed tracker and the existing tracker. The proposed method also has the potential to solve other type of tracking problems. This work is supported by the National Natural Science Foundation of China (Grant Nos. 60273005 and 60332010). Qiang Wang received the B.E. degree from Tsinghua University in 1998. And now he is a Ph.D. candidate in Department of Computer Science and Technology at Tsinghua University. His research interest lies in human computer interaction, facial modeling and animation, and visual tracking. Hai-Zhou Ai is a professor, Dept. Computer Science & Technology, Tsinghua University. He received his B.S., M.S., and Ph.D. degrees all from Tsinghua University in 1985, 1988, and 1991, respectively. He spent the period 1994–1996 at Flexible Production System Laboratory of University of Brussels, Belgium, as a postdoctoral researcher. His current research interests are face information processing, biometrics and visual surveillance. Guang-You Xu is a chair professor, Dept. Computer Science & Technology, Tsinghua University. He graduated from the Dept. Automatic Control, Tsinghua University, in 1963. His research interests include computer vision, multimedia computing and human computer interaction.
%K non-linear dimensionality reduction
%K particle filter
%K tracking<br>非线性维数减缩
%K 粒子滤波器
%K 知识跟踪
%K 非刚体运动
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=01EBB7049DA531FBF43089211554E829&yid=D0E58B75BFD8E51C&vid=2A8D03AD8076A2E3&iid=E158A972A605785F&sid=2B25C5E62F83A049&eid=2B25C5E62F83A049&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=0&reference_num=28