Motion retrieval with ensemble multiple instance learning based on mocap database

被引：0
|
作者：
Zhu, Hongli [1 ]
Xiang, Jian [2 ]
Yu, Fei [3 ]
机构：
[1] ZheJiang Univ City Coll, Hangzhou 310015, Zhejiang, Peoples R China
[2] ZheJiang Univ Sci & Technol, Hangzhou 310023, Zhejiang, Peoples R China
[3] Guangdong Univ Business Studies, Guangdong Prov Key Lab Elect Commerce Market Appl, Guangzhou 510320, Guangdong, Peoples R China
来源：
IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II | 2007年
关键词：
3D temporal-spatial; data driven; decision tree; multiple instance; ensemble; motion 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 based on ensemble multiple instance 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：1445 / +
页数：3
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