A probabilistic approach for foreground and shadow segmentation in monocular image sequences
نویسندگان
چکیده
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. 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
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عنوان ژورنال:
- Pattern Recognition
دوره 38 شماره
صفحات -
تاریخ انتشار 2005