Review and evaluation of commonly-implemented background subtraction algorithms

Abstract : Locating moving objects in a video sequence is the first step of many computer vision applications. Among the various motion-detection techniques, background subtraction methods are commonly implemented, especially for applications relying on a fixed camera. Since the basic inter-frame difference with global threshold is often a too simplistic method, more elaborate (and often probabilistic) methods have been proposed. These methods often aim at making the detection process more robust to noise, background motion and camera jitter. In this paper, we present commonly-implemented background subtraction algorithms and we evaluate them quantitatively. In order to gauge performances of each method, tests are performed on a wide range of real, synthetic and semi-synthetic video sequences representing different challenges.
Type de document :
Communication dans un congrès
International Conference on Pattern Recognition, Dec 2008, Tampa, United States. IEEE, 2008, 〈10.1109/ICPR.2008.4760998〉
Liste complète des métadonnées

Littérature citée [8 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00545518
Contributeur : Baptiste Hemery <>
Soumis le : mardi 16 octobre 2012 - 16:44:09
Dernière modification le : lundi 16 juillet 2018 - 16:00:49
Document(s) archivé(s) le : jeudi 17 janvier 2013 - 02:50:08

Fichier

ICPR_2008.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Yannick Benezeth, Pierre-Marc Jodoin, Bruno Emile, Hélène Laurent, Christophe Rosenberger. Review and evaluation of commonly-implemented background subtraction algorithms. International Conference on Pattern Recognition, Dec 2008, Tampa, United States. IEEE, 2008, 〈10.1109/ICPR.2008.4760998〉. 〈inria-00545518〉

Partager

Métriques

Consultations de la notice

594

Téléchargements de fichiers

1086