A traffic surveillant system must be capable of working in all kinds of weather and illumination conditions, such as shadows in a sunny day, vehicle reflections in a rainy day and vehicle headlights in the evening. In this paper we propose a robust algorithm to detect real moving vehicles and eliminate the influence of shadows and vehicle headlights by using a pattern classification method. On account of its simple but efficient representation, the histogram of a difference image is used as the features for classification. The classifier is designed based on support vector machine (SVM) due to its high generalization performance. The final experiment shows that the real traffic monitoring system based on our algorithm can detect moving vehicles and separate shadows and headlights robustly and effectively in different weather and illumination conditions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    SVM-based detection of moving vehicles for automatic traffic monitoring


    Contributors:
    Dashan Gao, (author) / Jie Zhou, (author) / Leping Xin, (author)


    Publication date :

    2001-01-01


    Size :

    477233 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    SVM-Based Detection of Moving Vehicles for Automatic Traffic Monitoring

    Gao, D. / Zhou, J. / Xin, L. et al. | British Library Conference Proceedings | 2001


    CONTOUR EXTRACTION AND TRACKING OF MOVING VEHICLES FOR TRAFFIC MONITORING

    Fan, Z. / Zhou, J. / Gao, D. et al. | British Library Conference Proceedings | 2002


    MONITORING OF TRAFFIC CONDITION OF STOPPED OR SLOW MOVING VEHICLES

    YASHAR ZEIYNALI FARID / OGUCHI KENTARO / HOH BAIK | European Patent Office | 2023

    Free access

    MONITORING A TRAFFIC CONDITION OF STOPPED OR SLOW MOVING VEHICLES

    ZEIYNALI FARID YASHAR / OGUCHI KENTARO / HOH BAIK | European Patent Office | 2023

    Free access

    Contour extraction and tracking of moving vehicles for traffic monitoring

    Zhimin Fan, / Jie Zhou, / Dashan Gao, et al. | IEEE | 2002