Motion retrieval based on temporal-spatial features by decision tree

被引：0
|
作者：
Xiang, Jian [1 ]
Zhu, HongLi [2 ]
机构：
[1] Zhejiang Univ Sci & Technol, Sch Informat & Elect Engn, Hangzhou 310023, Peoples R China
[2] Zhejiang Univ Sci & Technol, Coll Elect & Informat Engn, Hangzhou 310015, Peoples R China
来源：
DIGITAL HUMAN MODELING | 2007年 / 4561卷
关键词：
motion capture; 3D temporal -spatial; data driven; decision tree; retrieval;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to retrieve similar motion data from Mocap database, each human joint's motion clip is regarded as a bag, while each of its segments is regarded as an instance. 3D temporal-spatial features are extracted and data driven decision trees are automatically constructed to reflect the influence of each point during the comparison of motion similarity. At last we use the method of multiple instance retrieval to complete motion retrieval. Experiment results show that Our approaches are effective for motion data retrieval.
引用
收藏
页码：224 / 233
页数：10
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