In this paper, we suggested a vision-based traffic accident detection algorithm and developed a system for automatically detecting, recording, and reporting traffic accidents at intersections. A system with these properties would be beneficial in determining the cause of accidents and the features of an intersection that impact safety. This model first extracts the vehicles from the video image of the charge-couple-device camera, tracks the moving vehicles (MVs), and extracts features such as the variation rate of the velocity, position, area, and direction of MVs. The model then makes decisions on the traffic accident based on the extracted features. In a field test, the suggested model achieved a correct detection rate (CDR) of 50% and a detection rate of 60%. Considering that a sound-based accident detection system showed a CDR of 1% and a DR of 66.1%, our result is a remarkable achievement.


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    Titel :

    A traffic accident recording and reporting model at intersections


    Beteiligte:
    Ki, Yong-Kul (Autor:in) / Lee, Dong-Young (Autor:in)


    Erscheinungsdatum :

    2007


    Format / Umfang :

    7 Seiten, 25 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch





    A Traffic Accident Recording and Reporting Model at Intersections

    Yong-Kul Ki, / Dong-Young Lee, | IEEE | 2007


    Traffic Monitoring and Accident Detection at Intersections

    Kamijo, S. / Matsushita, Y. / Ikeuchi, K. et al. | British Library Online Contents | 2000


    Traffic monitoring and accident detection at intersections

    Kamijo, S. / Matsushita, Y. / Ikeuchi, K. et al. | Tema Archiv | 2000


    Traffic Monitoring and Accident Detection at Intersections

    Kamijo, S. / Matsushita, Y. / Ikeuchi, K. et al. | British Library Conference Proceedings | 1999