With the rapid development of the automobile industry, the problem of traffic congestion has become increasingly prominent. In order to reduce traffic accidents, improve road transportation efficiency and ensure road traffic safety, there is an urgent need for intelligent processing of vehicle real-time dynamic detection research. In this paper, the research of vehicle detection algorithm based on video image processing in the intelligent transportation system is aimed at real-time detection of vehicles through the algorithm to ensure driving safety. This article mainly uses experimental method and comparative method to analyze the application of several different algorithms in detection. The experimental results show that the minimum feature vector of the background difference method in vehicle detection is 32, but the highest accuracy is 98.4%. This shows that the background difference method is very useful in image processing.


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    Titel :

    Vehicle Detection Algorithm Based on Video Image Processing in Intelligent Transportation System


    Weitere Titelangaben:

    Lect. Notes on Data Eng. and Comms.Technol.


    Beteiligte:
    Atiquzzaman, Mohammed (Herausgeber:in) / Yen, Neil (Herausgeber:in) / Xu, Zheng (Herausgeber:in) / Guan, Hongliang (Autor:in)

    Kongress:

    International Conference on Big Data Analytics for Cyber-Physical System in Smart City ; 2022 ; Bangkok, Thailand December 16, 2022 - December 17, 2022



    Erscheinungsdatum :

    2023-06-03


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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