Publications Scientifiques
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Item Strategy of detecting abnormal behaviors by fuzzy logic(IEEE, 2017) Chebi, Hocine; Acheli, Dalila; Kesraoui, MohamedThis work falls within the framework of the video surveillance research axis. This work falls within the scope of video surveillance. It involves a link between automatic processing and problems related to video surveillance. The job is to analyze video streams coming from a network of surveillance cameras, deployed in an area of interest in order to detect abnormal behavior. Our approach in this article relies on the new application and the use of fuzzy logic in the case of division and fusion of the crowd. The detection of these behaviors will increase the speed of response of the security services in order to perform accurate analysis and detection of events in real timeItem A generic Multi-Agent framework for Medical-Image segmentation(2017) Bennai, Mohamed Tahar; Guessoum, Zahia; Mazouzi, Smaine; Cormier, Stéphane; Mezghiche, MohamedItem Intelligent detection without modeling of behavior unusual by fuzzy logic(Springer, 2017) Chebi, Hocine; Acheli, Dalila; Kesraoui, MohamedItem Towards a generic Multi-agent approach for medical image segmentation(Springer, 2017) Bennai, Mohamed Tahar; Guessoum, Zahia; Mazouzi, Smaine; Cormier, Stéphane; Mezghiche, MohamedItem Detection method without crowd behavior modeling by fuzzy logic(2017) Chebi, Hocine; Acheli, Dalila; Kesraoui, MohamedItem Automatic lithofacies segmentation using the wavelet transform modulus maxima lines combined with the detrended fluctuation analysis(Springer, 2013) Ouadfeul, Sid-Ali; Aliouane, LeilaItem Multifractal analysis revisited by the continuous wavelet transform applied in lithofacies segmentation from well-logs data(2011) Ouadfeul, S.; Aliouane, LeilaThe main goal of this paper is to use the wavelet transform modulus maxima lines (WTMM) and the detrended fluctuations analysis (DFA) methods to establish a new technique of lithofacies segmentation from well logs data. The WTMM is used to delimitate lithoafacies boundaries and the DFA is used to provide an exact estimation of the roughness coefficient of lithofacies. Application of the proposed idea at the synthetic and real data of a borehole located in Berkine basin shows that the proposed technique can enhance reservoirs characterization