Asian Journal of Information Technology

Year: 2006
Volume: 5
Issue: 10
Page No. 1034 - 1038

An HMM-Based Model for Moving Object Detection

Authors : A.R. Debilou and S. Aouragh

Abstract: A new probabilistic background-foreground model based on Hidden Markov Models (HHMs) is presented. The hidden states of the model enable discrimination between Foreground and Background. This method is composed of two phases. First, an ICE (Iterative Conditional Estimation) algorithm is introduced to learn the unknown HMM parameters. In the second stage, each pixel is classified with an MPM (Maximum Posterior Marginal) classification algorithm. The potential and efficiency of the method have been proven through simulations under Matlab.

How to cite this article:

A.R. Debilou and S. Aouragh , 2006. An HMM-Based Model for Moving Object Detection. Asian Journal of Information Technology, 5: 1034-1038.

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