Over-Segmentation Based Background Modeling and Foreground Detection with Shadow Removal by Using Hierarchical MRFs

Abstract

In this paper, we propose a novel over-segmentation based method for the detection of foreground objects from a surveillance video by integrating techniques of background modeling and Markov Random Fields classification. Firstly, we introduce a fast affinity propagation clustering algorithm to produce the over-segmentation of a reference image by taking… (More)
DOI: 10.1007/978-3-642-19318-7_42

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Cite this paper

@inproceedings{Su2010OverSegmentationBB, title={Over-Segmentation Based Background Modeling and Foreground Detection with Shadow Removal by Using Hierarchical MRFs}, author={Te-Feng Su and Yi-Ling Chen and Shang-Hong Lai}, booktitle={ACCV}, year={2010} }