Robust 3D Objects Localization using Hierarchical Belief Propagation in Real World Environment
FAKHFAKH ; KHOUDOUR ; EL-KOURSI ; BRUYELLE ; DUFAUX ; JACOT
Type de document
COMMUNICATION AVEC ACTES INTERNATIONAL (ACTI)
Langue
anglais
Auteur
FAKHFAKH ; KHOUDOUR ; EL-KOURSI ; BRUYELLE ; DUFAUX ; JACOT
Résumé / 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 localize multiple objects at level crossings. A background subtraction module is first performed using the Color Independent Component Analysis (CICA) 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 algorithm to prove the efficiency and the robustness of the proposed video surveillance system.
