In modern ITS, the precise recognition of vehicle information depends upon quality of images captured by camera. According to the changing of environment lighting condition, self-adaptive automatic exposure compensation control for camera is one of key elements to capture high quality images. This paper proposes Image Projection Information Model (IPIM). We can classify images and evaluate quality of images based on IPIM joined with vehicle and background of image average luminance level. According to the classification of images and evaluation of images quality, this paper presents a method of self-adaptive automatic exposure compensation control for camera.


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    Titel :

    A New Method of Precise Self-Adaptive Automatic Exposure Control for Camera in Intellegent Transportation Systems


    Beteiligte:
    Wang, Bang-Ping (Autor:in) / You, Zhi-Sheng (Autor:in) / Jiang, Xin-Rong (Autor:in) / Xiao, Yi-Jun (Autor:in) / Lu, Xiao-Chun (Autor:in)

    Kongress:

    First International Conference on Transportation Engineering ; 2007 ; Southwest Jiaotong University, Chengdu, China



    Erscheinungsdatum :

    2007-07-09




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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