Video Image Vehicle Detection Systems (VIVDS) are becoming primary tools of detecting traffic at intersections, interchanges and freeways due to their low costs, ability to monitor multiple lanes, variety of traffic data collection functions, and ability to easily reconfigure. However, the performance of VIVDS is often affected by camera location, lighting, weather and other factors. This paper will examine the effects of occlusion on traffic counts on freeway segments. Occlusion is a common phenomenon for VIVDS and the data errors are caused by many factors. There are two types of occlusion: longitudinal occlusion which causes missing detections, and horizontal occlusion which causes false counts. This paper also includes models that quantify missing and false counts. Finally, the models were validated using data collected on the I-80 freeway in Reno, Nevada. The test proved that the models are reliable and useful for real applications.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Traffic Counting Errors Due to Occlusion in Video Image Vehicle Detection Systems


    Contributors:

    Conference:

    Tenth International Conference of Chinese Transportation Professionals (ICCTP) ; 2010 ; Beijing, China


    Published in:

    ICCTP 2010 ; 2408-2419


    Publication date :

    2010-07-22




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Traffic Counting Errors Due to Occlusion in Video Image Vehicle Detection Systems

    Hu, P.-F. / Tian, Z.-Z. / Liu, H.-C. et al. | British Library Conference Proceedings | 2010


    Accuracy of Video Detection Systems for Traffic Counting

    Chitturi, M. V. / Medina, J. C. / Benekohal, R. F. et al. | British Library Conference Proceedings | 2007


    Fast Vehicle Track Counting in Traffic Video

    Qi, Ruoyan / Liu, Ying / Zhang, Zhongshuai et al. | British Library Conference Proceedings | 2022


    Automatic Vehicle Counting from Video for Traffic Flow Analysis

    Bas, E. / Tekalp, A.M. / Salman, F.S. et al. | British Library Conference Proceedings | 2007


    Automatic Vehicle Counting from Video for Traffic Flow Analysis

    Bas, Erhan / Tekalp, A. Murat / Salman, F. Sibel | IEEE | 2007