Original paper<br>3D HUMAN MOTION RETRIEVAL BASED ON
HUMAN HIERARCHICAL INDEX STRUCTURE

Q. Zhang; X. Guo

eISSN: 2083-1862
ISSN: 0860-021X

Biology of Sport

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2/2013
vol. 30

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abstract:

Original paper
3D HUMAN MOTION RETRIEVAL BASED ON HUMAN HIERARCHICAL INDEX STRUCTURE

Q. Zhang

,

X. Guo

Biol. Sport 2013;30:145-151

Online publish date: 2014/07/22

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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.

keywords:

Original paper3D HUMAN MOTION RETRIEVAL BASED ON HUMAN HIERARCHICAL INDEX STRUCTURE

Q. Zhang , X. Guo

motion capture, human hierarchical structure, motion pattern, KMP algorithm, motion retrieval

Original paper
3D HUMAN MOTION RETRIEVAL BASED ON HUMAN HIERARCHICAL INDEX STRUCTURE

Q. Zhang

,

X. Guo