The vision-based traffic monitoring system provides an attractive solution in extracting various traffic parameters such as the count, speed, flow and concentration from the processing of video data captured by a camera system. The detection accuracy is however affected by various environment factors such as shadow, occlusion, and lighting. Among these, the occurrence of occlusion is one of the major problems. In this work, a new scheme is proposed to detect the occlusion and determine the exact location of each vehicle. The proposed algorithm is based on the matching of images from multiple cameras. In the proposed scheme, we do not need edge detection, region segmentation, and camera calibration operations, which often suffer from the variation of environmental conditions. Experimental results are given to verify that the proposed technique is effective for vision-based highway surveillance systems.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Occlusion detection for highway traffic analysis with vision-based surveillance systems


    Contributors:

    Conference:

    Visual Information Processing XII ; 2003 ; Orlando,Florida,United States


    Published in:

    Publication date :

    2003-08-08





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Vehicle detection grammars with partial occlusion handling for traffic surveillance

    Tian, Bin / Tang, Ming / Wang, Fei-Yue | Elsevier | 2015



    Full-Body Occlusion Handling and Density Analysis in Traffic Video-Surveillance Systems

    Palinginis, Evangelos / Park, Man-Woo / Kamiya, Keitaro et al. | Transportation Research Record | 2014


    Highway traffic surveillance and control research

    CARTER, A.A. JUN. / HESS, J.W. / HODKINS, E.A. | Tema Archive | 1968