More and more image sensors are used in intelligent transportation systems. In practice, occlusion is always a problem when counting vehicles in congested traffic. This paper tries to present an approach to solve the problem. The proposed approach consists of three main procedures. Firstly, a new algorithm of background subtraction is performed. The aim is to segment moving objects from an illumination-variant background. Secondly, object tracking is performed, where the CONDENSATION algorithm is used. This can avoid the problem of matching vehicles in successive frames. Thirdly, an inspecting procedure is executed to count the vehicles. When a bus firstly occludes a car and then the bus moves away a few frames later, the car will appear in the scene. The inspecting procedure should find the "new" car and add it as a tracking object.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Approach for counting vehicles in congested traffic flow


    Contributors:
    Tan, Xiaojun (author) / Li, Jun (author) / Liu, Wei (author)

    Conference:

    Real-Time Imaging IX ; 2005 ; San Jose,California,United States


    Published in:

    Publication date :

    2005-02-25





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Tracking vehicles in congested traffic

    Beymer, David / Malik, Jitendra | SPIE | 1997


    Tracking Vehicles in Congested Traffic

    Beymer, D. / Malik, J. / IEEE; Industrial Electronics Society | British Library Conference Proceedings | 1996


    Congested Traffic Flow: Observations and Theory

    Kerner, B. S. / National Research Council | British Library Conference Proceedings | 1999


    Congested Traffic Flow: Observations and Theory

    Kerner, Boris S. | Transportation Research Record | 1999


    Congested Traffic Flow: Observations and Theory

    Kerner, Boris S. | Online Contents | 1999