• DocumentCode
    2954063
  • Title

    An Approach for Intelligent Transportation Moving Shadow Detection via Perceptual Grouping and Texture Feature

  • Author

    Xu Jieqiong ; Wang Guoyu

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Ocean Univ. of China, Qingdao, China
  • fYear
    2011
  • fDate
    30-31 July 2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Perceptual grouping refers to the organization ability that visual system detect image features in accordance with certain cues. These cues include proximity, continuity, closure, etc. Object reorganization based on perceptual grouping methods have been successfully applied for image processing in varieties. However, in the actual application, due to the light, background and other external factors, the current perceptual grouping methods are not optimal to completely segment the moving shadow from the foreground .Investigations have shown that the texture feature are an effective way to recognize shadow . In this paper, we proposed a new approach for moving shadow detection by combining perceptual grouping with texture feature. Thereby both the complete shadow and vehicles are detected.
  • Keywords
    feature extraction; image texture; object detection; traffic engineering computing; image processing; intelligent transportation moving shadow detection; object reorganization; perceptual grouping; texture feature; Bismuth; Classification algorithms; Computer vision; Feature extraction; Image edge detection; Image segmentation; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems Engineering (CASE), 2011 International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-0859-6
  • Type

    conf

  • DOI
    10.1109/ICCASE.2011.5997665
  • Filename
    5997665