3D objects localization using fuzzy approach and hierarchical belief propagation: application at level crossings

Authors:
N. Fakhfakh;L. Khoudour;E. El-Koursi;J. L. Bruyelle;A. Dufaux;J. Jacot
Affiliations:
Univ. Lille Nord de France, INRETS, Evaluation and Safety of Automated Transport Sys. and Elect., Waves and Signal Proc. Res. Lab. for Transport, Villeneuve d'Ascq, France and Lab. of Microeng. fo ...;Universitè Lille Nord de France, Lille, INRETS, Evaluation and Safety of Automated Transport Systems and Electronic, Waves and Signal Processing Research Laboratory for Transport, Villeneuve ...;Universitè Lille Nord de France, Lille, INRETS, Evaluation and Safety of Automated Transport Systems and Electronic, Waves and Signal Processing Research Laboratory for Transport, Villeneuve ...;Universitè Lille Nord de France, Lille, INRETS, Evaluation and Safety of Automated Transport Systems and Electronic, Waves and Signal Processing Research Laboratory for Transport, Villeneuve ...;Laboratory of Microengineering for Manufacturing, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland;Laboratory of Microengineering for Manufacturing, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Venue:
Journal on Image and Video Processing - Special issue on advanced video-based surveillance
Year:
2011

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Abstract

Technological solutions for obstacle-detection systems have been proposed to prevent accidents in safety-transport applications. In order to avoid the limits of these proposed technologies, an obstacle-detection system utilizing stereo cameras is proposed to detect and localizemultiple objects at level crossings. Background subtraction is first performed using the color independent component analysis technique, which has proved its performance against other well-known object-detection methods. The main contribution is the development of a robust stereo-matching algorithm which reliably localizes in 3D each segmented object. A standard stereo dataset and real-world images are used to test and evaluate the performances of the proposed algorithmto prove the efficiency and the robustness of the proposed video-surveillance system.