In this paper we describe a multi-camera traffic monitoring system relying on the concept of probability fusion maps (PFM) to detect vehicles in a traffic scene. In the PFM, traffic images from multiple cameras are inverse-mapped and registered onto a common reference frame, combining the multiple camera information to reduce the impact of occlusions. The perspective projection is, generally, non-invertible, although imposing the constraint that the image points be co-planar allows inversion. However, in a traffic scene, the co-planarity of image points is not strictly true, so the PFM are subject to distortions. We present a new approach to reducing these distortions by projecting the camera images onto planes at different offsets from the road plane. These PFM are combined to generate a multi-level (ML) PFM. We show that the distortions in the various projection planes offset and the ML PFM thus improves vehicle detection in the presence of occlusions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vehicle detection using multi-level probability fusion maps generated by a multi-camera system


    Beteiligte:


    Erscheinungsdatum :

    01.06.2008


    Format / Umfang :

    431170 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Vehicle Detection Using Multi-Level Probability Fusion Maps Generated by a Multi-Camera System

    Lamosa, F. / Hu, Z. / Uchimura, K. | British Library Conference Proceedings | 2008


    Recursive building of local maps using multi level feature fusion

    Richter, Eric / Scheunert, U. / Wanielik, G. | Tema Archiv | 2007


    Multi-sensor obstacle existence probability fusion method and vehicle

    ZONG YUXUAN / TANG XU / YU TAO et al. | Europäisches Patentamt | 2025

    Freier Zugriff

    Parking space detection system based on multi-camera fusion

    WANG YIKE / LU YANG | Europäisches Patentamt | 2022

    Freier Zugriff

    3D Vehicle Detection Using Multi-Level Fusion From Point Clouds and Images

    Zhao, Kun / Ma, Lingfei / Meng, Yu et al. | IEEE | 2022