標題: Human silhouette extraction based on HMM
作者: Zhao, San-Lung
Lee, Hsi-Jian
資訊工程學系
Department of Computer Science
公開日期: 2006
摘要: This paper presents a system that can extract regions of a person from an image sequence. The system first detects foreground regions based on a background model. After foreground regions are extracted a human model is used to identify human regions. In the human model, we adopt a Hidden Markov Model (HMM to model human silhouettes. To separate human and non-human regions, we represent non-human silhouettes by another HMM. The human silhouette model can extract incomplete human regions even when parts of the person are covered by background objects. Experimental results show the system proposed is very effective.
URI: http://hdl.handle.net/11536/17414
ISBN: 0-7695-2521-0
ISSN: 1051-4651
期刊: 18th International Conference on Pattern Recognition, Vol 2, Proceedings
起始頁: 994
結束頁: 997
顯示於類別:會議論文