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Audrey Giremus

5 accepted papers

2019

Tracking a Cluster of Space Debris in Low Orbit by Filtering on Lie Groups

ICASSP 2019accepted

This paper addresses the problem of tracking a cluster of space debris sufficiently close to each other to be considered as a single ex-tended object. State-of-the-art random-matrix methods estimate the kinematics of the object centroid by assuming that its shape is elliptic and that the observation…

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2018

Generative Model and Associated Metric for Coordinated-Motion Target Groups

ICASSP 2018accepted

In multi-object tracking, some target groups can share a coordinated motion. They can for instance form a convoy or follow a road network. In any case, the target trajectories can be modeled by using the group motion characteristics and the self-properties of the targets. For this purpose, we introd…

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2017

A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images

ICASSP 2017accepted

A generalized Swendsen-Wang (GSW) algorithm is proposed for the joint segmentation of a set of multiple images sharing, in part, an unknown number of common classes. The class labels are a priori modeled by a combination of the hierarchical Dirichlet process (HDP) and the Potts model. The HDP allows…

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2017

Bernoulli filter based algorithm for joint target tracking and classification in a cluttered environment

ICASSP 2017accepted

In this paper, single-target tracking using radar measurements is addressed. Recently, algorithms based on Bernoulli random finite sets have proved efficient in a cluttered environment. However, in Bayesian approaches, the choice of the motion model impacts the trajectory estimation accuracy. To sel…

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2015

Potts model parameter estimation in Bayesian segmentation of piecewise constant images

ICASSP 2015accepted

The paper presents a method for estimating the parameter of a Potts model jointly with the unknowns of an image segmentation problem. The method addresses piecewise constant images degraded by additive noise. The proposed solution follows a Bayesian approach, that yields the posterior law for all th…

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