Improvement of motion estimation by assessing the errors on the evolution equation

Abstract : Image assimilation methods are nowadays widely used to retrieve motion from image sequences with heuristics on the underlying dynamics. A mathematical model on the temporal evolution of the motion field has to be chosen, according to these heuristics, that approximately describes the evolution of the velocity at a pixel over the sequence. In order to quantify this approximation, we add an error term in the evolution equation of the motion field and design a weak formulation of 4D-Var image assimilation. The designed cost function simultaneously depends on the initial motion field and on the error value at each time step. The BFGS solver performs minimization to retrieve both motion field and errors. The method is evaluated and quantified on twin experiments, as no ground truth would be available for real data. The results demonstrate that the motion field is better estimated thanks to the error control.
Type de document :
Communication dans un congrès
VISAPP 2012 : International Conference on Computer Vision Theory and Applications, Feb 2012, Rome, Italy. 2, pp.235-240, 2012
Liste complète des métadonnées

Littérature citée [16 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00677662
Contributeur : Nathalie Gaudechoux <>
Soumis le : mercredi 14 mars 2012 - 11:25:59
Dernière modification le : vendredi 31 août 2018 - 09:25:55
Document(s) archivé(s) le : mercredi 14 décembre 2016 - 11:36:45

Fichier

visapp12-herlin-et-al.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00677662, version 1

Collections

Citation

Isabelle Herlin, Dominique Béréziat, Nicolas Mercier. Improvement of motion estimation by assessing the errors on the evolution equation. VISAPP 2012 : International Conference on Computer Vision Theory and Applications, Feb 2012, Rome, Italy. 2, pp.235-240, 2012. 〈hal-00677662〉

Partager

Métriques

Consultations de la notice

530

Téléchargements de fichiers

165