• DocumentCode
    3513669
  • Title

    Automated multi-sensor color video fusion for nighttime video surveillance

  • Author

    Haq, Anwaar-ul ; Gondal, I. ; Murshed, M.

  • Author_Institution
    GSIT, Monash Univ., Melbourne, VIC, Australia
  • fYear
    2010
  • fDate
    22-25 June 2010
  • Firstpage
    529
  • Lastpage
    534
  • Abstract
    In this paper, we present an automated color transfer based video fusion method to attain real-time color night vision capability for night-time video surveillance. We utilize simple RGB Color transfer technique to fused pseudo colored video frames without conversion to any uncorrelated color space. We investigated that final color fusion results greatly depend on the selection of target color Image. Therefore, rather than using any arbitrary target color image based on mere general visual anticipation, we have automated target color image selection using structural similarity and color saturation. We further apply color enhancement to improve final appearance of color fused images. Subjective and objective quality evaluations greatly indicate the effectiveness of our color video fusion method for nighttime video surveillance applications.
  • Keywords
    Image color analysis; color transfer; colorfulness; night vision; structural similarity; video fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications (ISCC), 2010 IEEE Symposium on
  • Conference_Location
    Riccione, Italy
  • ISSN
    1530-1346
  • Print_ISBN
    978-1-4244-7754-8
  • Type

    conf

  • DOI
    10.1109/ISCC.2010.5546791
  • Filename
    5546791