%0 Journal Article
%T Discriminative Human Action Recognition Using Semi-Markov Model and Large-margin<br>基于半马尔可夫和Large-margin的动作识别
%A WANG Li
%A YE Hu
%A XIA Liang-zheng
%A <br>汪力
%A 叶桦
%A 夏良正
%J 中国图象图形学报
%D 2009
%I 
%X Given an input video sequence of one person who conducted a sequence of continuous actions,we consider the problem of jointly segmenting and recognizing actions.To recognize the activities in videos,we propose a discriminative approach to this problem within a semi-Markov model framework,where we are able to define a set of features over input-output space that captures the characteristics on boundary frames,action segments and neighboring action segments,respectively.A Viterbi-like algorithm is devised to help efficiently solve the induced optimization problem.Experiments on a variety of datasets demonstrate the effectiveness of the proposed method.
%K 动作识别
%K 半马尔可夫
%K 支持向量机
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=464192BDCF918180ECDF2084D4381961&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=708DD6B15D2464E8&sid=A3156C1F05B10DD1&eid=0F47065E4B85EC48&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=20