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Moving Object Detection: A New Method Combining Background Subtraction, Fuzzy Entropy Thresholding and Differential Evolution Optimization Cover

Moving Object Detection: A New Method Combining Background Subtraction, Fuzzy Entropy Thresholding and Differential Evolution Optimization

Acta Mechanica et Automatica
Volume 19 (2025): Issue 1 (March 2025)
By: Oussama Boufares,  Mohamed Boussif,  Wajdi Saadaoui and  Imed Miraoui  
Open Access
|Mar 2025

Authors

Oussama Boufares

tsm.oussema@gmail.com

Faculty of sciences of Tunis, Department physics, University of Tunis El Manar

Mohamed Boussif

boussifmohamed1989@gmail.com

Faculty of sciences of Tunis, Department physics, University of Tunis El Manar

Wajdi Saadaoui

wajdi.enit@gmail.com

Faculty of sciences of Gafsa, Department electronics, University of Gafsa, Zarrok

Imed Miraoui

aimed_mir@yahoo.fr

Faculty of sciences of Gafsa, Department electronics, University of Gafsa, Zarrok
DOI: https://doi.org/10.2478/ama-2025-0013 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
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Language: English
Page range: 106 - 116
Submitted on: Mar 28, 2024
Accepted on: Sep 25, 2024
Published on: Mar 31, 2025
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
detecting moving objects,
fuzzy entropy,
differential evolution,
object segmentation
Related subjects:
Engineering,
Electrical engineering,
Electronics,
Mechanical engineering,
Mechanics,
Bioengineering and biomedical engineering,
Biomechanics,
Civil engineering,
Environmental engineering

© 2025 Oussama Boufares, Mohamed Boussif, Wajdi Saadaoui, Imed Miraoui, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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