Using Rao-Blackwellised Particle Filter Track 3D Arm Motion Based on Hierarchical Limb Model

Author

Yu, Xusong ; Liu, Jiafeng ; Tang, Xianglong ; Huang, Jianhua

Volume

6

fYear

2009

fDate

March 31 2009-April 2 2009

Firstpage

85

Lastpage

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.

Keywords

graph theory; motion estimation; particle filtering (numerical methods); pose estimation; tracking; HLM; Rao-Blackwellised particle filter; arm motion state space; graph decomposition; hierarchy limb model; human 3D arm motion tracking; human 3D skeleton model; motion estimation; pose estimation; Particle filters; Particle tracking; 3D tracking; Hierarchy Limb Model; Rao-Blackwellised Particle Filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Engineering, 2009 WRI World Congress on

Conference_Location

Los Angeles, CA

Print_ISBN

978-0-7695-3507-4

Type

conf

DOI

10.1109/CSIE.2009.80

Filename

5170666