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Compressive Sampling of Pulse Trains : Spread the Spectrum!

Sparsity-driven people localization algorithm: evaluation in crowded scenes environments

Abstract: We propose to evaluate our sparsity driven people localization framework on crowded complex scenes. The problem is recast as a linear inverse problem. It relies on deducing an occupancy vector, i.

Sport players detection and tracking with a mixed network of planar and omnidirectional cameras

Abstract: A generic approach is presented to detect and track people with a network of fixed and omnidirectional cameras given severely degraded foreground silhouettes. The problem is formulated as a sparsity constrained inverse problem.

The 2-D wavelet transform in image processing: Two novel applications

Abstract: In this paper, we describe two recent developments of the two-directional wavelet transform, namely, (i) the angular multiselectivity scheme and its application to image denoising, and (ii) a technique for measuring the curvature radius of a curve with application to astrophysical images.