Paper
4 March 2015 An experimental evaluation of some background subtraction algorithms under a variety of video surveillance challenges
Author Affiliations +
Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 944327 (2015) https://doi.org/10.1117/12.2179213
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
Abstract
This paper analyses the behavior of some existing background subtraction algorithms for possible use in automated video surveillance applications. The performance of the analyzed algorithms has been demonstrated by their authors on a selected video sequences to show the merits of their approaches. Nevertheless, choosing an adequate approach for a given application is not an easy task. In this study; by using background subtraction evaluation metrics combined with visual inspection, we asses in deep the performance of 04 algorithms under a variety of video surveillance challenges. This experimental analysis highlights the advantages and the limitations of each approach and helps in choosing the suitable method for a given video surveillance scenario.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tarek Benlefki, Rongke Liu, Mohamed Bachir Boubekeur, and Hocine Labidi "An experimental evaluation of some background subtraction algorithms under a variety of video surveillance challenges", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944327 (4 March 2015); https://doi.org/10.1117/12.2179213
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Cited by 1 scholarly publication.
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KEYWORDS
Video surveillance

Video

Detection and tracking algorithms

Visualization

Wavelets

Cameras

Surveillance

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