Using Visual Saliency for Object Tracking with Particle Filters - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Using Visual Saliency for Object Tracking with Particle Filters

(1) , (1) , (1)
1

Résumé

This paper presents a robust tracking method based on the integration of visual saliency information into the particle filter framework. While particle filter has been successfully used for tracking non-rigid objects, it shows poor performances in the presence of large illumination variation, occlusions and when the target object and background have similar color distributions. We show that considering saliency information significantly improves the performance of particle filter based tracking. In particular, the proposed method is robust against occlusion and large illumination variation while requiring a reduced number of particles. Experimental results demonstrate the efficiency and effectiveness of our approach.
Fichier principal
Vignette du fichier
dez_article.pdf (3.17 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00584682 , version 1 (11-04-2011)

Identifiants

  • HAL Id : hal-00584682 , version 1

Citer

Désiré Sidibé, David Fofi, Fabrice Mériaudeau. Using Visual Saliency for Object Tracking with Particle Filters. EUSIPCO 2010. 18th European Signal Processing Conference, Jul 2010, Aalborg, Denmark. pp.1776-1780. ⟨hal-00584682⟩
267 Consultations
273 Téléchargements

Partager

Gmail Facebook Twitter LinkedIn More