@inproceedings{7a164e4fb7694acf8c989b664b669ed6,
title = "Region-level motion-based foreground detection with shadow removal using MRFs",
abstract = "This paper presents a new approach to automatic segmentation of foreground objects with shadow removal from an image sequence by integrating techniques of background subtraction and motion-based foreground segmentation. First, a region-based motion segmentation algorithm is proposed to obtain a set of motion-coherence regions and the correspondence among regions at different time instants. Next, we formulate the foreground detection problem as a graph labeling over a region adjacency graph (RAG) based on Markov random fields (MRFs) statistical framework. A background model representing the background scene is built and then is used to model a likelihood energy. Besides the background model, the temporal and spatial coherence are also maintained by modeling it as a prior energy. Finally, a labeling is obtained by maximizing a posterior energy of the MRFs. Experimental results for several video sequences are provided to demonstrate the effectiveness of the proposed approach.",
author = "Huang, {Shih Shinh} and Fu, {Li Chen} and Hsiao, {Pei Yung}",
year = "2006",
doi = "10.1007/11612032_88",
language = "英语",
isbn = "3540312196",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "878--887",
booktitle = "Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings",
note = "7th Asian Conference on Computer Vision, ACCV 2006 ; Conference date: 13-01-2006 Through 16-01-2006",
}