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Comparative study of background subtraction algorithms

[+] Author Affiliations
Yannick Benezeth

Orange Labs France Telecom R&D, 4, rue du Clos Courtel, Cesson Sévigné Cedex 35512, France

Pierre-Marc Jodoin

Université de Sherbrooke, Centre de Recherche MOIVRE, 2500 Boulevard de l’Université, Sherbrooke, Quebec J1K 2R1, Canada

Bruno Emile

Université d’Orléans, Institut PRISME, 88 Boulevard Lahitolle, 18020 Bourges, France

Hélène Laurent

Université d’Orléans, Institut PRISME, 88 Boulevard Lahitolle, 18020 Bourges, France

Christophe Rosenberger

Université de Caen—CNRS, GREYC, ENSICAEN, 6 Boulevard Maréchal Juin, 14000 Caen, France

J. Electron. Imaging. 19(3), 033003 (July 23, 2010). doi:10.1117/1.3456695
History: Received October 15, 2009; Revised April 26, 2010; Accepted May 12, 2010; Published July 23, 2010; Online July 23, 2010
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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 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 requirements, and the computational effort they require. The impact of a Markovian prior as well as some postprocessing operators are also evaluated. Most of the videos used come from state-of-the-art benchmark databases and represent different challenges such as poor SNR, multimodal background motion, and camera jitter. Overall, we not only help to better understand for which type of videos each method best suits but also estimate how, sophisticated methods are better compared to basic background subtraction methods.

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Yannick Benezeth ; Pierre-Marc Jodoin ; Bruno Emile ; Hélène Laurent and Christophe Rosenberger
"Comparative study of background subtraction algorithms", J. Electron. Imaging. 19(3), 033003 (July 23, 2010). ; http://dx.doi.org/10.1117/1.3456695


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