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Sensors 2010, 10(2), 1041-1061; doi:10.3390/s100201041

A Multiscale Region-Based Motion Detection and Background Subtraction Algorithm

Departement of Computer and Software Engineering, École Polytechnique de Montréal, P.O. Box 6079, Station Centre-ville Montréal (Québec), H3C 3A7, Canada
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Received: 1 December 2009 / Revised: 15 January 2010 / Accepted: 22 January 2010 / Published: 28 January 2010
(This article belongs to the Special Issue Motion Detectors)
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Abstract

This paper presents a region-based method for background subtraction. It relies on color histograms, texture information, and successive division of candidate rectangular image regions to model the background and detect motion. Our proposed algorithm uses this principle and combines it with Gaussian Mixture background modeling to produce a new method which outperforms the classic Gaussian Mixture background subtraction method. Our method has the advantages of filtering noise during image differentiation and providing a selectable level of detail for the contour of the moving shapes. The algorithm is tested on various video sequences and is shown to outperform state-of-the-art background subtraction methods. View Full-Text
Keywords: motion detector; background subtraction; iterative subdivision; region-based; histograms; Gaussian Mixture motion detector; background subtraction; iterative subdivision; region-based; histograms; Gaussian Mixture
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Varcheie, P.D.Z.; Sills-Lavoie, M.; Bilodeau, G.-A. A Multiscale Region-Based Motion Detection and Background Subtraction Algorithm. Sensors 2010, 10, 1041-1061.

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