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

A Multiscale Region-Based Motion Detection and Background Subtraction Algorithm

Parisa Darvish Zadeh Varcheie* email, Michael Sills-Lavoieemail and Guillaume-Alexandre Bilodeauemail
Departement of Computer and Software Engineering, École Polytechnique de Montréal, P.O. Box 6079, Station Centre-ville Montréal (Québec), H3C 3A7, Canada
* Author to whom correspondence should be addressed.
Received: 1 December 2009; in revised form: 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.
Keywords: motion detector; background subtraction; iterative subdivision; region-based; histograms; Gaussian Mixture

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Cite This Article

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.

AMA Style

Varcheie PDZ, Sills-Lavoie M, Bilodeau G-A. A Multiscale Region-Based Motion Detection and Background Subtraction Algorithm. Sensors. 2010; 10(2):1041-1061.

Chicago/Turabian Style

Varcheie, Parisa Darvish Zadeh; Sills-Lavoie, Michael; Bilodeau, Guillaume-Alexandre. 2010. "A Multiscale Region-Based Motion Detection and Background Subtraction Algorithm." Sensors 10, no. 2: 1041-1061.

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