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Fourth Canadian Conference on Computer and Robot Vision (CRV '07)
A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling
Montreal, Quebec, Canada
May 28-May 30
ISBN: 0-7695-2786-8
ASCII Text
x 
 
Mohand Said Allili, Nizar Bouguila, Djemel Ziou, "A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling," Computer and Robot Vision, Canadian Conference, pp. 503-509, Fourth Canadian Conference on Computer and Robot Vision (CRV '07), 2007.
 
 
BibTex
x
 
@article{ 10.1109/CRV.2007.7,
author = {Mohand Said Allili and Nizar Bouguila and Djemel Ziou},
title = {A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling},
journal ={Computer and Robot Vision, Canadian Conference},
volume = {0},
year = {2007},
isbn = {0-7695-2786-8},
pages = {503-509},
doi = {http://doi.ieeecomputersociety.org/10.1109/CRV.2007.7},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Robot Vision, Canadian Conference
TI - A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling
SN - 0-7695-2786-8
SP503
EP509
A1 - Mohand Said Allili,
A1 - Nizar Bouguila,
A1 - Djemel Ziou,
PY - 2007
KW - null
VL - 0
JA - Computer and Robot Vision, Canadian Conference
ER -
 
Mohand Said Allili, University of Sherbrooke
Nizar Bouguila, Concordia University
Djemel Ziou, University of Sherbrooke
In this paper, we propose a robust video foreground modeling by using a finite mixture model of generalized Gaussian distributions (GDD). The model has a flexibility to model the video background in the presence of sudden illumination changes and shadows, allowing for an efficient foreground segmentation. In a first part of the present work, we propose a derivation of the online estimation of the parameters of the mixture of GDDS and we propose a Bayesian approach for the selection of the number of classes. In a second part, we show experiments of video foreground segmentation demonstrating the performance of the proposed model.
Citation:
Mohand Said Allili, Nizar Bouguila, Djemel Ziou, "A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling," crv, pp.503-509, Fourth Canadian Conference on Computer and Robot Vision (CRV '07), 2007
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