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Advanced multiple target tracking techniques

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6 personnes membres du GdR ISIS, et 10 personnes non membres du GdR, sont inscrits à cette réunion.
Capacité de la salle : 80 personnes.

Prise en charge d'un déplacement dans le cadre d'une réunion d'animation

Qui ?

Le GdR ISIS prend en charge les déplacements des organisateurs des réunions et des orateurs. Le GdR prend aussi en charge les déplacements des participants aux réunions membres d'un laboratoire adhérent du GdR dans la limite d'un doctorant et d'un permanent par laboratoire académique et par réunion, ou d'une personne par adhérent du club des partenaires et par réunion.

Quand organiser son déplacement ?

Les demandes de mission et les réservations doivent impérativement être effectuées au moins deux semaines avant la date de la mission.

Comment réserver ?

Annonce

Target tracking consists in recursively estimating the state of an object of interest from uncertain measurements. The applications are widespread, ranging from military surveillance to space situational awareness and robotics. The seminal algorithm is the Kalman filter but it fails to address complex situations such as the presence of several objects in the vicinity of the sensors. Additional challenges may arise such as undetected objects or false alarms. To deal with origin uncertainty in the measurements, a variety of solutions were proposed in the 80?s which mainly proceed by running several Kalman filters in parallel and coupling them with a track-to-measurement association step. Well-known techniques are the joint probability data association filter and the multi-hypothesis tracking.

In the early 90?s, a new class of algorithms was developed based on the formalism of random finite sets and point process theory. They consist in handling all the targets and all the measurements as whole by representing them as single unordered sets of random vectors. They can then be described by convenient multi-object probability density functions that encompass all the sources of uncertainty including the number of targets and measurements as well as their values.The latter makes it possible to directly generalize the Bayes filter to the multi-object case. Several tractable approximations have been proposed such as the probability density hypothesis filter or variants of the multi-target multi Bernoulli filter. Despite the potential of such algorithms, many issues have still to be addressed such as including interactions between the targets, decreasing the computational complexity or dealing with scenarios including several groups of targets.

The purpose of this special day is to review the recent advances and new challenges on multiple-target tracking but also to emphasize interesting applications. In addition to the invited speakers, researchers are welcome to contribute. The presentation proposals should be sent to the organizers before the 31th of October.

Organizers

Daniel Clark, Telecom SudParis : daniel.clark@telecom-sudparis.eu
François Desbouvries, Telecom SudParis : francois.desbouvries@telecom-sudparis.eu
Audrey Giremus, Université de Bordeaux : audrey.giremus@u-bordeaux.fr
Yohan Petetin, Telecom SudParis : yohan.petetin@telecom-sudparis.eu

Confirmed Speakers

Daniel Clark, Telecom SudParis
François Septier, Université de Bretagne Sud

Programme

Résumés des contributions

Date : 2018-11-15

Lieu : Amphi V334 - Mines ParisTech


Thèmes scientifiques :
A - Méthodes et modèles en traitement de signal

(c) GdR 720 ISIS - CNRS - 2011-2018.