• DocumentCode
    467132
  • Title

    Next Generation Face Tracking Technology Using AAM Techniques

  • Author

    Corcoran, Peter ; Ionita, M.C. ; Bacivarov, Joana

  • Author_Institution
    NUI Galway, Galway
  • Volume
    1
  • fYear
    2007
  • fDate
    13-14 July 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper realizes an investigation of the active appearance model (AAM) techniques, with particular emphasis on problems related to the implementation of AAM in realtime face tracking applications for embedded systems. The paper includes (a) new training and model construction approaches for AAMs with increased robustness to head pose variations and changes in the illumination conditions, and (b) a corresponding AAM-based face tracking scheme.
  • Keywords
    embedded systems; face recognition; image sequences; inference mechanisms; pose estimation; statistical analysis; tracking; active appearance model technique; embedded systems; head pose variation; next generation face tracking technology; statistical inference model; video sequences; Active appearance model; Application software; Computer vision; Face detection; Facial animation; Head; Lighting; Robustness; Shape; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems, 2007. ISSCS 2007. International Symposium on
  • Conference_Location
    Iasi
  • Print_ISBN
    1-4244-0969-1
  • Electronic_ISBN
    1-4244-0969-1
  • Type

    conf

  • DOI
    10.1109/ISSCS.2007.4292639
  • Filename
    4292639
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=467132