Real-time hybrid tracking using edge and texture information - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue The International Journal of Robotics Research Année : 2007

Real-time hybrid tracking using edge and texture information

Résumé

This paper proposes a real-time, robust and effective tracking framework for visual servoing applications. The algorithm is based on the fusion of visual cues and on the estimation of a transformation (either a homography or a 3D pose). The parameters of this transformation are estimated using a non-linear minimization of a unique criterion that integrates information both on the texture and the edges of the tracked object. The proposed tracker is more robust and performs well in conditions where methods based on a single cue fail. The framework has been tested for 2D object motion estimation and pose computation. The method presented in this paper has been validated on several video sequences as well as in visual servoing experiments considering various objects. Results show the method to be robust to occlusions or textured backgrounds and suitable for visual servoing applications.
Fichier principal
Vignette du fichier
2007_ijrr_pressigout.pdf (2.95 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00350597 , version 1 (07-01-2009)

Identifiants

  • HAL Id : inria-00350597 , version 1

Citer

Muriel Pressigout, E. Marchand. Real-time hybrid tracking using edge and texture information. The International Journal of Robotics Research, 2007, 26 (7), pp.689-713. ⟨inria-00350597⟩
572 Consultations
302 Téléchargements

Partager

Gmail Facebook X LinkedIn More