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

S. S. Huang*, L. C. Fu, P. Y. Hsiao

*此作品的通信作者

研究成果: 期刊稿件文章同行評審

1 引文 斯高帕斯(Scopus)

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.

原文英語
頁(從 - 到)575-577
頁數3
期刊Electronics Letters
42
發行號10
DOIs
出版狀態已出版 - 2006

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