nebili wafa, farou brahim and seridi hamid (2019) GMM with Dynamic Management of the Number of Gaussians based on AIRS.. jeri\'2019 , Saida algeria
Scientific Publications
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Abstract
Background subtraction is an essential step in the process of
monitoring videos. Several works have proposed models to dierentiate
the background pixels from the foreground pixels. Mixtures of Gaussian
(GMM) are among the most popular models for a such problem. However,
they suer from certain inconveniences related to the light variations
and complex scene due to the use of a xed number of Gaussians. In
this paper, we will propose an improvement of the GMM based on the
use of the bio-inspired algorithm AIRS (Arti cial Immune Recognition
System) to generate and introduce new Gaussian instead of using a
xed number of Gaussians. Our approach is to exploit the robustness
of the mutation function in the generation
monitoring videos. Several works have proposed models to dierentiate
the background pixels from the foreground pixels. Mixtures of Gaussian
(GMM) are among the most popular models for a such problem. However,
they suer from certain inconveniences related to the light variations
and complex scene due to the use of a xed number of Gaussians. In
this paper, we will propose an improvement of the GMM based on the
use of the bio-inspired algorithm AIRS (Arti cial Immune Recognition
System) to generate and introduce new Gaussian instead of using a
xed number of Gaussians. Our approach is to exploit the robustness
of the mutation function in the generation
Information
| Item Type | Conference |
|---|---|
| Divisions | |
| ePrint ID | 4430 |
| Date Deposited | 2023-09-17 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/4430 |
BibTex
@inproceedings{uniusa4430,
title={GMM with Dynamic Management of the Number of Gaussians based on AIRS.},
author={nebili wafa, farou brahim and seridi hamid},
year={2019},
booktitle={jeri\'2019}
}
title={GMM with Dynamic Management of the Number of Gaussians based on AIRS.},
author={nebili wafa, farou brahim and seridi hamid},
year={2019},
booktitle={jeri\'2019}
}