Monitoring traffic intersections in real time and predicting possible collisions is an important first step towards building an early collision-warning system. We present a vision-based system addressing this problem and describe the practical adaptations necessary to achieve real-time performance. Innovative low-overhead collision-prediction algorithms (such as the one using the time-as-axis paradigm) are presented. The proposed system was able to perform successfully in real time on videos of quarter-video graphics array (VGA) (320 /spl times/ 240) resolution under various weather conditions. The errors in target position and dimension estimates in a test video sequence are quantified and several experimental results are presented.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A vision-based approach to collision prediction at traffic intersections


    Contributors:


    Publication date :

    2005-12-01


    Size :

    312450 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    A collision prediction system for traffic intersections

    Atev, S. / Masoud, O. / Janardan, R. et al. | Tema Archive | 2005


    A computer-vision approach to traffic analysis over intersections

    Lira, Gustavo / Kokkinogenis, Zafeiris / Rossetti, Rosaldo J. F. et al. | IEEE | 2016


    Automated Approach for Computer Vision-Based Vehicle Movement Classification at Traffic Intersections

    Udita Jana / Jyoti Prakash Das Karmakar / Pranamesh Chakraborty et al. | DOAJ | 2023

    Free access