IEICE Electronics Express
Online ISSN : 1349-2543
ISSN-L : 1349-2543
LETTER
Background modeling using special type of Markov Chain
Thi Thi ZinPyke TinTakashi ToriuHiromitsu Hama
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JOURNAL FREE ACCESS

2011 Volume 8 Issue 13 Pages 1082-1088

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Abstract

Background modeling is important in video surveillance for extracting foreground regions from a complex environment. In this paper, we present a novel background modeling technique based on a special type of Markov Chain. The method is a substantial extension to the existing background subtraction techniques. First, a background pixel is statistically modeled by a linear regressive Gamma Markov distribution. Then, these statistical estimates are used as important parameters in background update schemes. The experimental results show that the proposed model is less sensitive to movements of the texture background and more robust for real time segmenting the foreground object accurately.

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© 2011 by The Institute of Electronics, Information and Communication Engineers
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