nebili wafa, farou brahim, seridi hamid and kouahla mohamed nadjib (2019) A new process for selecting the best background representatives based on gmm. International Journal of Informatics and Applied Mathematics , 1(2667-6960), 35-46
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Abstract
Background subtraction is an essential step in the process
of monitoring videos. Several works have been proposed to di erentiate
the background pixels from the foreground ones. Mixtures of Gaussian
(GMM) are among the most popular models for this problem. However,
they su er from some inconveniences related to light variations
and complex scene. This paper proposes an improvement of the GMM
by proposing a new technique of ordering the Gaussians distributions
in the selection phase of the scene\'s best representatives. This approach
replaces the usual ranking of Gaussian according to the value of wk;t=t
with sorting according to their covariance measure which is calculated
between each pixel and each of these Gaussians. The obtained results
on the Wallflower dataset has proven the e ectiveness of the proposed
approach compared to standard GMM.
of monitoring videos. Several works have been proposed to di erentiate
the background pixels from the foreground ones. Mixtures of Gaussian
(GMM) are among the most popular models for this problem. However,
they su er from some inconveniences related to light variations
and complex scene. This paper proposes an improvement of the GMM
by proposing a new technique of ordering the Gaussians distributions
in the selection phase of the scene\'s best representatives. This approach
replaces the usual ranking of Gaussian according to the value of wk;t=t
with sorting according to their covariance measure which is calculated
between each pixel and each of these Gaussians. The obtained results
on the Wallflower dataset has proven the e ectiveness of the proposed
approach compared to standard GMM.
Information
| Item Type | Journal |
|---|---|
| Divisions | |
| ePrint ID | 4426 |
| Date Deposited | 2023-09-17 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/4426 |
BibTex
@article{uniusa4426,
title={A new process for selecting the best background representatives based on gmm},
author={nebili wafa, farou brahim, seridi hamid and kouahla mohamed nadjib},
journal={International Journal of Informatics and Applied Mathematics}
year={2019},
volume={1},
number={2667-6960},
pages={35-46},
publisher={}
}
title={A new process for selecting the best background representatives based on gmm},
author={nebili wafa, farou brahim, seridi hamid and kouahla mohamed nadjib},
journal={International Journal of Informatics and Applied Mathematics}
year={2019},
volume={1},
number={2667-6960},
pages={35-46},
publisher={}
}