Human Motion Retrieval with Symbolic Aggregate approXimation

被引：0
|
作者：
Xiao, Qinkun [1 ]
Luo, Yichuang [1 ]
Gao, Song [1 ]
机构：
[1] Xian Technol Univ, Dept Elect Engn, Xian 710032, Peoples R China
来源：
PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2012年
关键词：
Motion Capture; Self-organizing Map; Symbolic Aggregate approXimation; Hierarchical Clustering; Retrieval;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Motion capture data exhibits its complexity both spatially and temporally, which makes it a hard work to measure the similarities between human motions. We propose a motion data indexing and retrieval method based on self-organizing map and symbolic aggregate approximation. And the hierarchical clustering method is implemented, which can discover the relationships between different motion types by a binary tree structure. Then the motion motifs of each cluster are extracted for the retrieval of example-based query. The experiment results show the performance of our approach.
引用
收藏
页码：3632 / 3636
页数：5
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