A Multiscale Region-Based Motion Detection and Background Subtraction Algorithm

Sensors

Parisa Darvish Zadeh Varcheie¹  Michael Sills-Lavoie² 

[1] Departement of Computer and Software Engineering, École Polytechnique de Montréal, P.O. Box 6079, Station Centre-ville Montréal (Québec), H3C 3A7, Canada;

关键词: motion detector;    background subtraction;    iterative subdivision;    region-based;    histograms;    Gaussian Mixture;   

DOI  :  10.3390/s100201041

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.