• DocumentCode
    2069071
  • Title

    Commentary Paper on "Shadow Removal in Indoor Scenes"

  • Author

    Sofka, Michal

  • Author_Institution
    Rensselaer Polytech. Inst., Troy, NY, USA
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    299
  • Lastpage
    300
  • Abstract
    The technique proposed in this paper combines three algorithms for shadow removal in indoor scenes. First algorithm takes an advantage of the assumption on the chromaticity consistency: the ambient light chromaticity is approximately the same as the chromaticity of the diffuse light. Magnitude of differences between chromaticity values of shadow and non-shadow regions for different hue values are different for RGB and HSV color spaces so both spaces are used in conjunction by setting thresholds on these differences. Second algorithm takes a potential shadow region and applies a threshold on the intensity reduction of each pixel and its neighboring pixels. It is ensured that the shadow regions are above minimum specified size. The third algorithm uses a threshold on the intensity reduction as a result of light being blocked by moving objects. This reduction depends on the background geometry, light source, moving object size, and position. The threshold reduction caused by a shadow is obtained by manually specifying shadow regions and recording these values which are later used for shadow removal in the same scene.
  • Keywords
    image processing; HSV color spaces; RGB color spaces; ambient light chromaticity; diffuse light chromaticity; indoor scenes; light source; moving object size; shadow removal; threshold reduction; Dictionaries; Geometry; Layout; Light sources; Real time systems; Surveillance; Video sequences; Videoconference; chromaticity consistency; shadow removal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Video and Signal Based Surveillance, 2008. AVSS '08. IEEE Fifth International Conference on
  • Conference_Location
    Santa Fe, NM
  • Print_ISBN
    978-0-7695-3341-4
  • Electronic_ISBN
    978-0-7695-3422-0
  • Type

    conf

  • DOI
    10.1109/AVSS.2008.60
  • Filename
    4730428