Title :
Articulated Body tracking based on sequential belief propagation
Author :
Zheng, Lin ; Liu, Quan
Author_Institution :
Sch. of Inf. Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
Articulated Body tracking is a challenging problem in computer vision. In this paper, we present a modified sequential belief propagation method with multi-cue fusion based likelihood. The experiment result show that this method performs robust in complex environments.
Keywords :
belief networks; computer vision; pose estimation; target tracking; visual servoing; articulated body tracking; computer vision; multicue fusion based likelihood; sequential belief propagation; Belief propagation; Gaussian processes; Graphical models; Humans; Inference algorithms; Kernel; Markov random fields; Monte Carlo methods; Random variables; Robustness; Belief Propagation; Loose-Limbed Articulated Body; Visual Tracking;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5486222
