Markovian framework for foreground-background-shadow separation of real world video scenes

Benedek, Csaba and Szirányi, Tamás (2006) Markovian framework for foreground-background-shadow separation of real world video scenes. Lecture Notes in Computer Science, 3851. pp. 898-907.

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Abstract

In this paper we give a new model for foreground-background-shadow separation. Our method extracts the faithful silhouettes of foreground objects even if they have partly background like colors and shadows are observable on the image. It does not need any a priori information about the shapes of the objects, it assumes only they are not point-wise. The method exploits temporal statistics to characterize the background and shadow, and spatial statistics for the foreground. A Markov Random Field model is used to enhance the accuracy of the separation. We validated our method on outdoor and indoor video sequences captured by the surveillance system of the university campus, and we also tested it on well-known benchmark videos.

Item Type: ISI Article
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Distributed Events Analysis Research Laboratory
Depositing User: Eszter Nagy
Date Deposited: 11 Dec 2012 15:27
Last Modified: 17 Feb 2014 12:27
URI: http://eprints.sztaki.hu/id/eprint/4797

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