Olfa Besbes

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Moving shadow detection is a fundamental step in video-surveillance applications since it is generally confused with foreground. In this paper, we propose a novel statistical non-parametric method to detect moving shadow in a road traffic image sequences. We consider a diagonal model to describe the shadow distortion in the RGB color space. A Support Vector(More)
In this paper, we present an adaptive variational segmentation algorithm of spectral-texture regions in satellite images using level set. Satellite images contain both textured and non-textured regions, so for each region cues of spectral and texture are integrated according to their discrimination power. Motivated by Fisher-Rao's linear dis-criminant(More)
In this paper, we develop a novel Conditional Random Field (CRF) formulation to jointly extract road networks from a set of high resolution satellite images. Our fully unsupervised method relies on a pairwise CRF model defined over a set of test images, which encodes prior assumptions about the roads such as thinness, elongation. Four competitive energy(More)