• DocumentCode
    479820
  • Title

    Shadow Removal of Vehicles in a Video System Based on RGB Chroma Model

  • Author

    Xuehua, Song ; Yan, Ding ; Jianfeng, Gen ; Yu, Chen

  • Author_Institution
    Dept. of Comput. Sci. & Telecommun. Eng., Jiangsu Univ., Zhenjiang
  • Volume
    1
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    977
  • Lastpage
    980
  • Abstract
    Shadow removal plays an important role in the moving object detection and retrieval of surveillance system. In order to remove shadow effectively, a detailed data analysis about shadow attribute is given after a brief introduction about how shadow comes into being. It is concluded that compared with the same field in background, the luminance of the shadow decreased a little, while each chroma per centum does not change a lot in RGB model. However, each chroma per centum of the moving object does change a lot. According to it, the paper proposes an easy algorithm which first picks up the front moving object, and detects the shadow in good use of the different properties between the shadow and object, and finally removes it successfully. The experiment shows that the algorithm could indeed remove the shadow coming from moving object effectively.
  • Keywords
    object detection; video retrieval; video surveillance; RGB chroma model; luminance; moving object detection; moving object retrieval; surveillance system; vehicle shadow removal; Change detection algorithms; Character generation; Computer science; Object detection; Production; Shape; Software engineering; Surveillance; Vehicles; Videoconference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1160
  • Filename
    4721914