Biology of Sport
pISSN 0860-021X    eISSN 2083-1862
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Journal Abstract
 
3D HUMAN MOTION RETRIEVAL BASED ON HUMAN HIERARCHICAL INDEX STRUCTURE
Qiang Zhang, Xiaocui Guo
Biol Sport 2013; 30(2):145-151
ICID: 1044460
Article type: Original article
IC™ Value: 10.00
Abstract provided by Publisher
 
With the development and wide application of motion capture technology, the captured motion data sets are becoming larger and larger. For this reason, an efficient retrieval method for the motion database is very important. The retrieval method needs an appropriate indexing scheme and an effective similarity measure that can organize the existing motion data well. In this paper, we represent a human motion hierarchical index structure and adopt a nonlinear method to segment motion sequences. Based on this, we extract motion patterns and then we employ a fast similarity measure algorithm for motion pattern similarity computation to efficiently retrieve motion sequences. The experiment results show that the approach proposed in our paper is effective and efficient.

ICID 1044460

DOI 10.5604/20831862.1044460
 
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