Imad Zoghlami

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This paper presents a fast, accurate, and novel method for the problem of estimating the number of humans and their positions from background differenced images obtained from a single camera where inter-human occlusion is significant. The problem is challenging firstly because the state space formed by the number, positions, and articulations of people is(More)
We present a tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking. The classic formulation of the tracking problem using mean-shift iterations encodes spatial information very loosely (i.e. using radially symmetric kernels). A problem with such a(More)
The main problem for building a mosaic is the computation of the warping functions (homographies). In fact two cases are to be distinguished. The rst is when the homography is mainly a translation (i.e. the rotation around the optical axis and the zooming factor are small). The second is the general case (when the rotation around the optical axis and(More)
In this paper, we address the problem of the recovery of a realistic textured model of a scene from a sequence of images, without any prior knowledge either about the parameters of the cameras, or about their motion. We do not require any knowledge of the absolute coordinates of some control points in the scene to achieve this goal. First, using various(More)
In this paper, a novel robust tracking algorithm in compressed video is proposed. Within the framework of video compression standards, we consider how to accurately estimate motion of an object by utilizing motion vectors available in compressed video together with derived confidence measures. These confidence measures are based on DCT coefficients, spatial(More)
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