This paper represents a brand new method of studying the information of vehicles in a running state on the road. Firstly, modeling the road background by the process of updating the backgrounds of the video images of the continuously running vehicles on the road, the initial video image data of vehicles in a running state are obtained. Secondly, a new method which combines the simplified profile morphological operations with the band filter is then suggested to eliminate the vehicular shadows on the video images. Thirdly, a vehicular position-tracking algorithm is proposed to identify the positions of different vehicles in a running state via the resulted foreground video image data. After that, the continuous speed and acceleration rate information of running vehicles is obtained by applying the weighted window regression approach. All the trajectory curves on the time-space coordinates for all vehicles running on all lanes of the road of concern are therefore obtained.


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    Titel :

    Determination of Vehicular Trajectories Based on Video Image Processing Technology


    Beteiligte:
    Li, Shuo (Autor:in) / Zhao, Xiu-jiang (Autor:in) / Zhang, Guo (Autor:in)

    Kongress:

    14th COTA International Conference of Transportation Professionals ; 2014 ; Changsha, China


    Erschienen in:

    CICTP 2014 ; 649-657


    Erscheinungsdatum :

    24.06.2014




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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