%0 Journal Article
%T Tunneled Latent Variables Method for Facial Action Unit Tracking<br>针对表情动作单元跟踪的隧道隐变量法
%A WANG Lei
%A ZOU Bei-Ji
%A PENG Xiao-Ning
%A <br>王磊
%A 邹北骥
%A 彭小宁
%J 自动化学报
%D 2009
%I 
%X A nonlinear data reduction process with limited training examples usually results in a latent variables space with some unpleasant disconnections which may cause a tracking procedure to fail at local minimums. This paper presents a novel method to resolve the problem. It is used to track facial action units in the video and the experiment results are encouraging.
%K Nonlinear data reduction
%K Gaussian process (GP)
%K cluster analysis
%K particle filtering<br>非线性降维
%K 高斯过程
%K 聚类分析
%K 粒子滤波
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=4A77CC675E6735512FD71E2E8FCD3CCC&yid=DE12191FBD62783C&vid=6209D9E8050195F5&iid=0B39A22176CE99FB&sid=FEF02B4635FE8227&eid=BC084ACE66B62CC8&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=0