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

页码：3632 / 3636

页数：5

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