A probabilistic approach for foreground and shadow segmentation in monocular image sequences

PATTERN RECOGNITION

卷:38

Article

Wang, Y ; Tan, T ; Loe, KF ; Wu, JK

关键词: Bayesian network;    foreground segmentation;    graphical model;    Markov random field;    shadow detection;   

DOI  :  10.1016/j.patcog.2005.02.006

来源: Elsevier

【 摘 要 】

This paper presents a novel method of foreground and shadow segmentation in monocular indoor image sequences. The models of background, edge information, and shadow are set up and adaptively updated. A Bayesian network is proposed to describe the relationships among the segmentation label, background, intensity, and edge information. A maximum a posteriori-Markov random field estimation is used to boost the spatial connectivity of segmented regions. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

【 授权许可】

Free