An efficient Rao-Blackwellized particle filter for object tracking - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2005

An efficient Rao-Blackwellized particle filter for object tracking

Élise Arnaud
Etienne Mémin
  • Function : Author
  • PersonId : 952791


In this paper we present a technique for the tracking of textured almost planar object. The target is modeled as a noisy planar cloud of points. The tracking is led with an appropriate non linear stochastic filter. The particular system that we devised is conditionally Gaussian and can be efficiently implemented through variance reduction principle known as Rao-Blackwellisation. Our model allows also to melt a correlation measurements with dynamic model estimated from the images. Such a cooperation within a stochastic filtering framework allows the tracker to be robust to occlusions and target's unpredictable changes of speed and direction. We demonstrate the efficiency of the tracker on different types of real world sequences
Fichier principal
Vignette du fichier
Icip05Arnaud_1.pdf (194.7 Ko) Télécharger le fichier
Vignette du fichier
icip1.jpg (38.57 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Format : Figure, Image

Dates and versions

inria-00306723 , version 1 (03-04-2009)


  • HAL Id : inria-00306723 , version 1


Élise Arnaud, Etienne Mémin. An efficient Rao-Blackwellized particle filter for object tracking. IEEE international conference on image processing, 2005, Genes, Italy. ⟨inria-00306723⟩
124 View
192 Download


Gmail Facebook X LinkedIn More