• DocumentCode
    1976713
  • Title

    Robust face tracking using color

  • Author

    Schwerdt, Karl ; Crowley, James L.

  • Author_Institution
    Project PRIMA, INRIA Rhone-Alpes, Montbonnot St. Martin, France
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    90
  • Lastpage
    95
  • Abstract
    We discuss a new robust tracking technique applied to histograms of intensity-normalized color. This technique supports a video codec based on orthonormal basis coding. Orthonormal basis coding can be very efficient when the images to be coded have been normalized in size and position. However an imprecise tracking procedure can have a negative impact on the efficiency and the quality of reconstruction of this technique, since it may increase the size of the required basis space. The face tracking procedure described in this paper has certain advantages, such as greater stability, higher precision, and less jitter, over conventional tracking techniques using color histograms. In addition to those advantages, the features of the tracked object such as mean and variance are mathematically describable
  • Keywords
    face recognition; image reconstruction; statistical analysis; tracking; video codecs; video coding; histograms; image coding; intensity-normalized color; orthonormal basis coding; reconstruction quality; robust face tracking; video codec; Codecs; Electronic mail; Eyes; Face detection; Head; Image coding; Image reconstruction; Jitter; Robustness; Skin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on
  • Conference_Location
    Grenoble
  • Print_ISBN
    0-7695-0580-5
  • Type

    conf

  • DOI
    10.1109/AFGR.2000.840617
  • Filename
    840617