Comparative study of background subtraction algorithms - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Electronic Imaging Année : 2010

Comparative study of background subtraction algorithms

Résumé

In this paper, we present a comparative study of several state of the art background subtraction methods. Approaches ranging from simple background subtraction with global thresholding to more sophisticated statistical methods have been implemented and tested on different videos with ground truth. The goal of this study is to provide a solid analytic ground to underscore the strengths and weaknesses of the most widely implemented motion detection methods. The methods are compared based on their robustness to different types of video, their memory requirement, and the computational effort they require. The impact of a Markovian prior as well as some post-processing operators are also evaluated. Most of the videos used in this study come from state-of-the-art benchmark databases and represent different challenges such as poor signal-to-noise ratio, multimodal background motion and camera jitter. Overall, this study not only helps better understand to which type of videos each method suits best but also estimate how better sophisticated methods are, compared to basic background subtraction methods.
Fichier principal
Vignette du fichier
JEI.pdf (3.39 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00545478 , version 1 (16-10-2012)

Identifiants

Citer

Yannick Benezeth, Pierre-Marc Jodoin, Bruno Emile, Hélène Laurent, Christophe Rosenberger. Comparative study of background subtraction algorithms. Journal of Electronic Imaging, 2010, 19, ⟨10.1117/1.3456695⟩. ⟨inria-00545478⟩
989 Consultations
16168 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More