Person

Laurent Jacques

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Related publications (31)

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A Sparsity Constrained Inverse Problem to Locate People in a Network of Cameras

Pierre Vandergheynst, Alexandre Massoud Alahi, Laurent Jacques

A novel approach is presented to locate dense crowd of people in a network of fixed cameras given the severely degraded background subtracted silhouettes. The problem is formulated as a sparsity constrained inverse problem using an adaptive dictionary cons ...

2009

Sport Players Detection and Tracking With a Mixed Network of Planar and Omnidirectional Cameras

Pierre Vandergheynst, Alexandre Massoud Alahi, Laurent Jacques

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. A dictionary made of atoms r ...

2009

Sparsity-driven People Localization Algorithm: Evaluation in Crowded Scenes Environments

Pierre Vandergheynst, Alexandre Massoud Alahi, Laurent Jacques

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.e. the discretized occupancy of people on the ground, from t ...

2009

CMOS Compressed Imaging by Random Convolution

Pierre Vandergheynst, Alexandre Schmid, Yusuf Leblebici, Laurent Jacques, Vahid Majidzadeh Bafar

We present a CMOS imager with built-in capability to perform Compressed Sensing. The adopted sensing strategy is the random Convolution due to J. Romberg. It is achieved by a shift register set in a pseudo-random configuration. It acts as a convolutive fil ...

2009

Compressive Sampling of Pulse Trains : Spread the Spectrum !

Pierre Vandergheynst, Rémi Gribonval, Laurent Jacques

In this paper we consider the problem of sampling far below the Nyquist rate signals that are sparse linear superpositions of shifts of a known, potentially wide-band, pulse. This signal model is key for applications such as Ultra Wide Band (UWB) communica ...

2009

Compressed sensing imaging techniques for radio interferometry

Pierre Vandergheynst, Yves Wiaux, Gilles Puy, Laurent Jacques

Radio interferometry probes astrophysical signals through incomplete and noisy Fourier measurements. The theory of compressed sensing demonstrates that such measurements may actually suffice for accurate reconstruction of sparse or compressible signals. We ...

Wiley-Blackwell2009

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The thesis describes a great new sensor, the Panoptic Camera - a device made of 104 cameras patched on a half sphere. It describes and explains its fundamentals, the reasoning behind and its planned uses. It then covers the whole two-dimensional sparse int ...

2009

The theory of Compressed Sensing (CS) is based on reconstructing sparse signals from random linear measurements. As measurement of continuous signals by digital devices always involves some form of quantization, in practice devices based on CS encoding mus ...

2009

Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine

Laurent Jacques

2009

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2009