Fast detecting and tracking of moving objects in video scenes

Abstract : In this article we present a new method for detecting textured moving objects. Based on a known background estimation and a fixed camera, the algorithm is able to detect moving objects and locates them at video rate, moreover this method is used for object tracking purposes. Our method is multi-step: First, we use level lines to detect pixels of the background which are occluded by moving object. Then, we use an a contrario model as general framework to make an automatic clustering. Thus the moving objects are detected as regions and not only as pixels, eventually we correct this region to better fit the moving object. Experimental results show that the algorithm is very robust to noise and to the quality of the background estimation (e.g. ghosts). The algorithm has been successfully tested in video sequences coming from different databases, including indoor and outdoor sequences.
Type de document :
Pré-publication, Document de travail
18 pages. Quelques films de résultats sont disponible sur: http://www.ceremade.dauphine.fr/~pelletie. 2006
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https://hal.archives-ouvertes.fr/hal-00119596
Contributeur : Georges Koepfler <>
Soumis le : lundi 11 décembre 2006 - 12:44:14
Dernière modification le : mardi 11 octobre 2016 - 14:53:00
Document(s) archivé(s) le : mardi 6 avril 2010 - 19:58:03

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  • HAL Id : hal-00119596, version 1

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Françoise Dibos, Georges Koepfler, Sylvain Pelletier. Fast detecting and tracking of moving objects in video scenes. 18 pages. Quelques films de résultats sont disponible sur: http://www.ceremade.dauphine.fr/~pelletie. 2006. <hal-00119596>

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