Coupling reduced models for optimal motion estimation

Abstract : The paper discusses the issue of motion estimation by image assimilation in numerical models, based on Navier-Stokes equations. In such context, models' reduction is an attractive approach that is used to decrease cost in memory and computation time. A reduced model is obtained from a Galerkin projection on a subspace, defined by its orthogonal basis. Long temporal image sequences may then be processed by a sliding-window method. On the first sub-window, a fixed basis is considered to define the reduced model. On the next ones, a Principal Order Decomposition is applied, in order to define a basis that is simultaneously small-size and adapted to the studied image data. Results are given on synthetic data and quantified according to state-of-the-art methods. Application to satellite images demonstrates the potential of the approach.
Type de document :
Communication dans un congrès
ICPR - 21st International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. IEEE, pp.2651-2654, 2012, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6460711&tag=1〉
Liste complète des métadonnées

Littérature citée [7 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00803622
Contributeur : Nathalie Gaudechoux <>
Soumis le : vendredi 15 novembre 2013 - 16:46:15
Dernière modification le : lundi 25 septembre 2017 - 14:48:02
Document(s) archivé(s) le : dimanche 16 février 2014 - 04:28:25

Fichier

Drifi-Herlin-ICPR-2012.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00803622, version 1

Collections

Citation

Karim Drifi, Isabelle Herlin. Coupling reduced models for optimal motion estimation. ICPR - 21st International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. IEEE, pp.2651-2654, 2012, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6460711&tag=1〉. 〈hal-00803622〉

Partager

Métriques

Consultations de la notice

162

Téléchargements de fichiers

88