%0 Journal Article
%T Optical Flow Estimation Based on SVD Covariance Weighted Techniques<br>一种基于SVD协方差加权技术的光流估计算法
%A HOU Yun-Shu
%A ZHANG Yan-Ning
%A ZHAO Rong-Chun
%A <br>侯云舒
%A 张艳宁
%A 赵荣椿
%J 计算机科学
%D 2006
%I 
%X A novel algorithm namely covariance weighted SVD based optical flow estimation is proposed in this paper, which achieves more robust and precise tracking result comparing to the traditional L-K tracker. Covariance weighted is used to transform the problem from a hyper-ellipse space to a hyper-sphere space. SVD is correspondingly performed to involve the subspace constraints. The proposed algorithm has been evaluated by the standard test sequence. The potential applications vary from articulated automation, structure from motion, computer surveillance to human-computer interaction.
%K SVD<br>视频跟踪
%K 光流估计
%K 协方差加权
%K 人脸特征点跟踪
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D8322F1A000C0284&yid=37904DC365DD7266&vid=27746BCEEE58E9DC&iid=B31275AF3241DB2D&sid=FBCA02DBD05BD4EA&eid=9CA95D22FC1D537C&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=14