Year 2018, Volume 1, Issue 1, Pages 35 - 46 2018-12-20

A New Process for Selecting the Best Background Representatives based on GMM

Nebili Wafa [1] , Seridi Hamid [2] , Kouahla Mohamed Nadjib [3]

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Background subtraction is an essential step in the process of monitoring videos. Several works have been proposed to differentiate the background pixels from the foreground pixels. Mixtures of Gaussian (GMM) are among the most popular models for a such problem. However, they suffer from some inconveniences related to the light variations and complex scene. In this paper, we propose an improvement of the GMM by proposing a new technique of ordering the Gaussian distributions in the selection phase of the best representatives of the scene. Our approach replaces the usual ranking of Gaussians according to the value of wk ,tt  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 effectiveness of the proposed approach compared to standard GMM.

GMM, Video surveillance, Background Subtraction
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Primary Language en
Subjects Computer Science, Interdisciplinary Application
Journal Section Articles
Authors

Orcid: 0000-0001-7401-0031
Author: Nebili Wafa (Primary Author)
Institution: université 8 mai 1945 guelma
Country: Algeria


Author: Seridi Hamid
Institution: University of Guelma

Author: Kouahla Mohamed Nadjib
Institution: University of Guelma
Country: Algeria


Bibtex @research article { ijiam531727, journal = {International Journal of Informatics and Applied Mathematics}, issn = {}, eissn = {2667-6990}, address = {International Society of Academicians}, year = {2018}, volume = {1}, pages = {35 - 46}, doi = {}, title = {A New Process for Selecting the Best Background Representatives based on GMM}, key = {cite}, author = {Wafa, Nebili and Hamid, Seridi and Mohamed Nadjib, Kouahla} }
APA Wafa, N , Hamid, S , Mohamed Nadjib, K . (2018). A New Process for Selecting the Best Background Representatives based on GMM. International Journal of Informatics and Applied Mathematics, 1 (1), 35-46. Retrieved from http://dergipark.org.tr/ijiam/issue/43831/531727
MLA Wafa, N , Hamid, S , Mohamed Nadjib, K . "A New Process for Selecting the Best Background Representatives based on GMM". International Journal of Informatics and Applied Mathematics 1 (2018): 35-46 <http://dergipark.org.tr/ijiam/issue/43831/531727>
Chicago Wafa, N , Hamid, S , Mohamed Nadjib, K . "A New Process for Selecting the Best Background Representatives based on GMM". International Journal of Informatics and Applied Mathematics 1 (2018): 35-46
RIS TY - JOUR T1 - A New Process for Selecting the Best Background Representatives based on GMM AU - Nebili Wafa , Seridi Hamid , Kouahla Mohamed Nadjib Y1 - 2018 PY - 2018 N1 - DO - T2 - International Journal of Informatics and Applied Mathematics JF - Journal JO - JOR SP - 35 EP - 46 VL - 1 IS - 1 SN - -2667-6990 M3 - UR - Y2 - 2019 ER -
EndNote %0 International Journal of Informatics and Applied Mathematics A New Process for Selecting the Best Background Representatives based on GMM %A Nebili Wafa , Seridi Hamid , Kouahla Mohamed Nadjib %T A New Process for Selecting the Best Background Representatives based on GMM %D 2018 %J International Journal of Informatics and Applied Mathematics %P -2667-6990 %V 1 %N 1 %R %U
ISNAD Wafa, Nebili , Hamid, Seridi , Mohamed Nadjib, Kouahla . "A New Process for Selecting the Best Background Representatives based on GMM". International Journal of Informatics and Applied Mathematics 1 / 1 (December 2018): 35-46.