Title :
Using Rao-Blackwellised Particle Filter Track 3D Arm Motion Based on Hierarchical Limb Model
Author :
Yu, Xusong ; Liu, Jiafeng ; Tang, Xianglong ; Huang, Jianhua
fDate :
March 31 2009-April 2 2009
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;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.80
