Vehicles detection and classification are the most popular subjects in the computer vision researching field, and also are the most important parts in any traffic monitoring or surveillance system. Although there has been a considerable amount of ideas to accommodate this problem since the 90s, many problems are still unresolved due to the complexity of traffic systems and the variety of vehicles. This paper is a work-in-process that proposes a new approach to detect and classify vehicles based on the traffic system in Vietnam. The main goal of this method is to group vehicles into 2 main classes, which are 2-wheeled and 4-wheeled vehicles, based on low-level traffic parameters in urban areas.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Vision-based approach for urban vehicle detection & classification


    Contributors:


    Publication date :

    2013-12-01


    Size :

    1267887 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Vision-based vehicle classification

    Gupte, S. / Masoud, O. / Papanikolopoulos, P. | IEEE | 2000


    Vision-Based Vehicle Classification

    Gupte, S. / Masoud, O. / Papanikolopoulos, N. P. et al. | British Library Conference Proceedings | 2000


    Algorithm for vision-based vehicle detection and classification

    Hu, Youpan / He, Qing / Zhuang, Xiaobin et al. | IEEE | 2013


    A Cooperative Approach to Vision-Based Vehicle Detection

    Bensrhair, A. / Bertozzi, M. / Broggi, A. et al. | British Library Conference Proceedings | 2001


    A cooperative approach to vision-based vehicle detection

    Bensrhair, A. / Bertozzi, M. / Broggi, A. et al. | IEEE | 2001