Coupled 2D and 3D Analysis for Moving Objects Detection with a Moving Camera

Marie-Neige Chapel 1 Erwan Guillou 1 Saida Bouakaz 1
1 SAARA - Simulation, Analyse et Animation pour la Réalité Augmentée
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : The detection of moving objects in the video stream of a moving camera is a complex task. Static objects appear moving in the video stream as moving objects. Thus, it is difficult to identify motions that belong to moving objects because they are hidden by those of static objects. To detect moving objects we propose a novel geometric constraint based on 2D and 3D information. A sparse reconstruction of the visible part of the scene is performed in order to detect motions in the 3D space where the scene perception is not deformed by the camera motion. A first labeling estimation is performed in the 3D space and then apparent motions in the video stream of the moving camera are used to validate the estimation. Labels are computed from confidence values which are updated at each frame according to the geometric constraint. Our method can detect several moving objects in complex scenes with high parallax.
Type de document :
Communication dans un congrès
12th International Conference on Computer Vision Theory and Applications, Feb 2017, Porto, Portugal. 12th International Conference on Computer Vision Theory and Applications, pp.236-245, Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017). <10.5220/0006132002360245>
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https://hal.archives-ouvertes.fr/hal-01488610
Contributeur : Marie-Neige Chapel <>
Soumis le : lundi 13 mars 2017 - 18:18:45
Dernière modification le : samedi 27 mai 2017 - 09:38:02

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Marie-Neige Chapel, Erwan Guillou, Saida Bouakaz. Coupled 2D and 3D Analysis for Moving Objects Detection with a Moving Camera. 12th International Conference on Computer Vision Theory and Applications, Feb 2017, Porto, Portugal. 12th International Conference on Computer Vision Theory and Applications, pp.236-245, Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017). <10.5220/0006132002360245>. <hal-01488610>

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