The identification of the responsibility of traffic accident has become a major problem because of the rising accident rates. Limited surveillance video data often restrict its accuracy. More believable data source could be helpful to improve the efficiency and accuracy of the traffic accident identification. In this paper, we propose a new method for traffic accident identification which collects large amount of data through the vehicle video recorder, classifies the data, and then reorganizes the accident video. We design the system architecture and main framework, analyze the concrete realization steps, and explain its feasibility.


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    Title :

    A New Approach to Reproduce Traffic Accident Based on the Data of Vehicle Video Recorders


    Additional title:

    Advs in Intelligent Syst., Computing


    Contributors:
    Patnaik, Srikanta (editor) / Li, Xiaolong (editor) / Li, Hong (author) / Kang, Qing (author) / He, Jing (author)


    Publication date :

    2013-12-21


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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