• DocumentCode
    2555113
  • Title

    Weather identifying system based on vehicle video image

  • Author

    Song, Hongjun ; Xin Le ; Chen Yang-Zhou ; Gao Yuan-Yuan

  • Author_Institution
    Center for Autonomous Technol. & Intell. Control Organ., Beijing Univ. of Technol., Beijing, China
  • fYear
    2011
  • fDate
    21-25 June 2011
  • Firstpage
    172
  • Lastpage
    175
  • Abstract
    Aim at the influence of the weather factor upon the road vehicle, this paper puts forward a kind of a weather identifying system vehicle video image. The system needs to initialize an original background image which is the brightest on the average in the first period of time. The background image is renewed not only when the bright degree of next frame image is higher than it, but also the weather is detected sun day at the same time. Get a background image of the current video sequence and let it minus with it to obtain the identifying image. At last do texture analysis to it to realize the weather automatically identifying. This paper mainly identifies the weather in a sun day, cloudy day and snow day, and after a lot of experiments the method are proved to be effective, and it can identify the weather condition of the current vehicle video accurately.
  • Keywords
    geophysical image processing; image sequences; image texture; meteorology; road vehicles; video signal processing; cloudy day; road vehicle; snow day; sun day; texture analysis; vehicle video image; video sequence; weather identifying system; Clouds; Snow; texture analysis; vehicle video; weather identifying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2011 9th World Congress on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-61284-698-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2011.5970722
  • Filename
    5970722