%0 Journal Article
%T Human Motion Retrieval With Time-squence Features Based on Data-driven Decision Tree Analysis<br>基于改进的数据驱动决策树分析的3维人体运动检索
%A XIANG jian
%A XU Jie
%A GUO Tong-qiang
%A WU Fei
%A ZHUANG Yue-ting
%A XIANG jian
%A XU Jie
%A GUO Tong-qiang
%A WU Fei
%A ZHUANG Yue-ting
%A XIANG jian
%A XU Jie
%A GUO Tong-qiang
%A WU Fei
%A ZHUANG Yue-ting
%A XIANG jian
%A XU Jie
%A GUO Tong-qiang
%A WU Fei
%A ZHUANG Yue-ting
%A XIANG jian
%A XU Jie
%A GUO Tong-qiang
%A WU Fei
%A ZHUANG Yue-ting
%A <br>向坚
%A 徐劼
%A 郭同强
%A 吴飞
%A 庄越挺
%J 中国图象图形学报
%D 2007
%I 
%X With the development of motion capture techniques,more 3D motion libraries become available.In this paper,space transformation property and time property are extracted from human motion capture data,which compose 3D motion time sequence features.Given the assumption of the features of each joint is independent,a revised data-driven decision tree of anytime induction is automatically constructed to present the influence of each point during the comparison of motion similarity.Experiment results show that our approaches are effective for motion data retrieval.
%K motion capture
%K 3D time sequence feature
%K decision tree
%K retrieval<br>运动捕获
%K 3维时序特征
%K 决策树
%K 检索
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=BF17EC5C8B3935B1&yid=A732AF04DDA03BB3&vid=59906B3B2830C2C5&iid=F3090AE9B60B7ED1&sid=5CF046FF5EA53371&eid=0B2B64BA93B3A889&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=8