Real-time performance evaluation of BGSLibrary algorithms for intelligent surveillance

Background subtraction is the first and basic stage in video analysis and smart surveillance to extract moving objects. In fact, the background subtraction library (BGSLibrary) was created by Andrews Sobral in 2012, which currently combines 43 background subtraction algorithms from the most popular...

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Main Authors: Benraya, Imane (Author), Benblidia, Nadjia (Author), Amara, Yasmine (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2021-12-01.
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042 |a dc 
100 1 0 |a Benraya, Imane  |e author 
100 1 0 |e contributor 
700 1 0 |a Benblidia, Nadjia  |e author 
700 1 0 |a Amara, Yasmine  |e author 
245 0 0 |a Real-time performance evaluation of BGSLibrary algorithms for intelligent surveillance 
260 |b Institute of Advanced Engineering and Science,   |c 2021-12-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25122 
520 |a Background subtraction is the first and basic stage in video analysis and smart surveillance to extract moving objects. In fact, the background subtraction library (BGSLibrary) was created by Andrews Sobral in 2012, which currently combines 43 background subtraction algorithms from the most popular and widely used in the field of video analysis. Each algorithm has its own characteristics, strengths and weaknesses in extracting moving objects. The evaluation allows the identification of these characteristics and helps researchers to design the best methods. Unfortunately, the literature lacks a comprehensive evaluation of the algorithms included in the library. Accordingly, the present work will evaluate these algorithms in the BGSLibrary through the segmentation performance, execution time and processor, so as to, achieve a perfect, comprehensive, real-time evaluation of the system. Indeed, a background modeling challenge (BMC) dataset was selected using the synthetic video with the presence of noise. Results are presented in tables, columns and foreground masks. 
540 |a Copyright (c) 2021 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690 |a 1,2 Electronics Departement,University of Saad Dahleb, Blida1 
690 |a Background subtraction; BGSLibrary; Evaluation; Foreground; Moving detection; 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 24, No 3: December 2021; 1491-1498 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v24.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25122/15781 
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