Cahiers du CEREMADE

Unité Mixte de Recherche du C.N.R.S. N°7534
 
Abstract : In this article we present a real time algorithm for detecting moving objects in a video sequence taken with a fixed camera. When a background estimation is known, the algorithm is able to detect moving objects and locates them approximately. The method is based on a comparison between each image and the background, thus it can be applied on a video sequence with a very low frame rate. Indeed we use an a contrario model, assuming that moving objects yield locally major changes in the topographic map. Experimental results show that the algorithm is very robust to noise and to the background estimation. Moreover, the algorithm needs few parameters, which are easy to estimate.
 
 
Real-time segmentation of moving objects
DIBOS Fran├žoise, PELLETIER Sylvain, KOEPFLER Georges
2005-15
22-03-2005
 
Université de PARIS - DAUPHINE
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