Tracking Multiple Objects with Particle Filtering - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Rapport (Rapport De Recherche) Année : 2000

Tracking Multiple Objects with Particle Filtering

Carine Hue
  • Fonction : Auteur
  • PersonId : 1198814
Patrick Pérez
  • Fonction : Auteur
  • PersonId : 1022281

Résumé

We address the problem of multitarget tracking encountered in many situations in signal or image processing. We consider stochastic dynamic systems detected by observation processes. The difficulty lies on the fact that the estimation of the states needs to know the assignation of the observations to the multiple targets. We propose an extension of the classical particle filter where the stochastic vector of assignation is estimated by a Gibbs sampler. This algorithm is used to estimate the trajectories of multiple targets from their noisy bearings, thus showing its ability to solve the data association problem. Moreover this algorithm can easily be extended to multireceiver observations where the receivers can produce measurements of various nature with different periodicities.
Fichier principal
Vignette du fichier
RR-4033.pdf (616.91 Ko) Télécharger le fichier
Loading...

Dates et versions

inria-00072605 , version 1 (24-05-2006)

Identifiants

  • HAL Id : inria-00072605 , version 1

Citer

Carine Hue, Jean-Pierre Le Cadre, Patrick Pérez. Tracking Multiple Objects with Particle Filtering. [Research Report] RR-4033, INRIA. 2000. ⟨inria-00072605⟩
316 Consultations
1749 Téléchargements

Partager

Gmail Facebook X LinkedIn More