Jaywalk is the most common urban traffic violation, so an intelligent jaywalker detection method is presented in this paper. The method analyses and detects jaywalker's abnormal behavior against traffic rules. Firstly, the motion object is segmented based on the background difference method, and pedestrian is recognized from vehicle according the height-width ratio. Secondly, the pedestrian's motion path is obtained through the linear predictive tracking algorithm. Then the pedestrian motion path is simplified to the line set through linear fitting, and the motion direction is calculated. Finally, the jaywalker is detected according the angle between the pedestrian's motion direction and road direction. The experiment shows that the method can detect the jaywalker effectively in short time, and it is suitable to use in real time monitoring.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Pest Analysis of Traffic Peccancy Forensics Service in China


    Beteiligte:
    Yu, Jinwei (Autor:in) / Li, Xiying (Autor:in) / Zhao, Youting (Autor:in)

    Kongress:

    Third International Conference on Transportation Engineering (ICTE) ; 2011 ; Chengdu, China


    Erschienen in:

    ICTE 2011 ; 2933-2939


    Erscheinungsdatum :

    13.07.2011




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    A peccancy monitoring system (1) and a peccancy monitoring method

    WANG RUI / MA ZHIWEI | Europäisches Patentamt | 2020

    Freier Zugriff

    Traffic peccancy control plate realizing positioning, orientation and speed fixing based on Beidou satellite

    YUAN RENBING / LU YUKE / YANG YUXIANG | Europäisches Patentamt | 2015

    Freier Zugriff

    Peccancy reporting method and device, computer equipment and storage medium

    LIN ZHIHAO | Europäisches Patentamt | 2020

    Freier Zugriff

    Peccancy detection system, method and device, control equipment and storage medium

    SHEN HUILIANG / ZHENG YUAN / YANG ZENGQI et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Scratch forensics

    Suratwala, T. / Miller, P. / Feit, M. et al. | British Library Online Contents | 2008