@Article{Zhang2013,
journal="Biology of Sport",
issn="0860-021X",
volume="30",
number="2",
year="2013",
title="Original paper3D HUMAN MOTION RETRIEVAL BASED ON
HUMAN HIERARCHICAL INDEX STRUCTURE",
abstract="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.",
author="Zhang, Q.
and Guo, X.",
pages="145--151",
url="https://www.termedia.pl/Original-paper-3D-HUMAN-MOTION-RETRIEVAL-BASED-ON-r-nHUMAN-HIERARCHICAL-INDEX-STRUCTURE,78,23244,1,1.html"
}