Hybrid tracking approach using optical flow and pose estimation - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2008

Hybrid tracking approach using optical flow and pose estimation

Résumé

This paper proposes an hybrid approach to estimate the 3D pose of an object. The integration of texture information based on image intensities in a more classical non-linear edge-based pose estimation computation has proven to highly increase the reliability of the tracker. We propose in this work to exploit the data provided by an optical flow algorithm for a similar purpose. The advantage of using the optical flow is that it does not require any a priori knowledge on the object appearance. The registration of 2D and 3D cues for monocular tracking is performed by a non linear minimization. Results obtained show that using optical flow enables to perform robust 3D hybrid tracking even without any texture model
Fichier principal
Vignette du fichier
2008_icip_pressigout.pdf (274.67 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

inria-00351874 , version 1 (12-01-2009)

Identifiants

  • HAL Id : inria-00351874 , version 1

Citer

Muriel Pressigout, Eric Marchand, Etienne Mémin. Hybrid tracking approach using optical flow and pose estimation. IEEE Int. Conf. on Image Processing, ICIP'08, 2008, San Diego, California, France. ⟨inria-00351874⟩
328 Consultations
432 Téléchargements

Partager

Gmail Facebook X LinkedIn More