Silhouette-based human pose estimation using reversible jump Markov chain Monte Carlo

被引：2
作者：
Huang, S. -S.
Fu, L. -C.
Hsiao, P. -Y.
机构：
[1] Natl Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan
[2] Chang Gung Univ, Dept Elect Engn, Taoyuan 259, Taiwan
来源：
ELECTRONICS LETTERS | 2006年 / 42卷 / 10期
关键词：
5;
D O I：
10.1049/el:20060044
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel approach for recovering the human body configuration based on the silhouette is presented. By considering pose inference as traversing the difference subspaces and using a data-driven mechanism, reversible jump Markov chain Monte Carlo (RJMCMC) can explore such solution space very efficiently. Experimental results are provided to demonstrate the efficiency and effectiveness of the proposed approach.
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页码：575 / 577
页数：3
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