• DocumentCode
    1964028
  • Title

    Illumination-invariant change detection

  • Author

    Toth, Daniel ; Aach, Til ; Metzler, Volker

  • Author_Institution
    Ist. for Signal Process., Lubeck Univ., Germany
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    3
  • Lastpage
    7
  • Abstract
    Moving objects in image sequences acquired by a static camera can be detected by analyzing the grey-level difference between successive frames. Direct motion detection, however, will also detect fast variations of scene illumination. This paper describes a method for motion detection that is considerably less sensitive to time-varying illumination. It is based on combining a motion detection algorithm with an homomorphic filter which effectively suppresses variable scene illumination. To this end, the acquired image sequence is modelled as being generated by an illumination and a reflectance component that are approximately separated by the filter. Detection of changes in the reflectance component is directly related to scene changes, i.e., object motion. Real video data are used to illustrate the system´s performance
  • Keywords
    filtering theory; image sequences; motion estimation; object detection; video signal processing; approximate separation; grey-level difference; homomorphic filter; illumination-invariant change detection; image sequences; motion detection; moving object detection; reflectance; system performance; time-varying illumination; video data; Cameras; Filters; Image analysis; Image sequence analysis; Image sequences; Layout; Lighting; Motion detection; Object detection; Reflectivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation, 2000. Proceedings. 4th IEEE Southwest Symposium
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-7695-0595-3
  • Type

    conf

  • DOI
    10.1109/IAI.2000.839561
  • Filename
    839561