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Los Angeles, CA
March 31, 2009 to April 2, 2009
ISBN: 978-0-7695-3507-4
pp: 85-89
ABSTRACT
For improving the efficiency of human 3D tracking, we present an algorithm to track 3D Arm Motion. First, the Hierarchy Limb Model (HLM) is proposed based on the human 3D skeleton model. Second, via graph decomposition, the arm motion state space, modeled by HLM, can be discomposed into two low dimension subspaces: root nodes and leaf nodes. Finally, Rao-Blackwellised Particle Filter is used to estimate the 3D arm motion. The result of experiment shows that our algorithm can advance the computation efficiency.
INDEX TERMS
Hierarchy Limb Model, Rao-Blackwellised Particle Filter, 3D tracking
CITATION
XueSong Yu, JiaFeng Liu, XiangLong Tang, JianHua Huang, "Using Rao-Blackwellised Particle Filter Track 3D Arm Motion Based on Hierarchical Limb Model", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 85-89, doi:10.1109/CSIE.2009.80
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