Salma Kammoun Jarraya

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Fast and accurate moving object segmentation in dynamic scenes is the first step in many computer vision applications. In this paper, we propose a new background modeling method for moving object segmentation based on dynamic matrix and spatio-temporal analyses of scenes. Our method copes with some challenges related to this field. A new algorithm is(More)
The efficient application of current methods of shadow detection in video is hindered by the difficulty in defining their parameters or models and/or their application domain dependence. This paper presents a new shadow detection and removal method that aims to overcome these inefficiencies. It proposes a semi-supervised learning rule using a new variant of(More)
In this paper, we propose a new approach, called RoadGuard, for Highway Control and Management System. RoadGuard is based on counting and tracking moving vehicles robustly. Our system copes with some challenges related to such application processing steps like shadow, ghost and occlusion. A new algorithm is proposed to detect and remove cast shadow. The(More)
Fast and accurate foreground detection in video sequences is the first step in many computer vision applications. In this paper, we propose a new method for background modeling that operates in color and gray spaces and that manages the entropy information to obtain the pixel state card. Our method is recursive and does not require a training period to(More)
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