• DocumentCode
    963973
  • Title

    The template update problem

  • Author

    Matthews, Iain ; Ishikawa, Takahiro ; Baker, Simon

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    26
  • Issue
    6
  • fYear
    2004
  • fDate
    6/1/2004 12:00:00 AM
  • Firstpage
    810
  • Lastpage
    815
  • Abstract
    Template tracking dates back to the 1981 Lucas-Kanade algorithm. One question that has received very little attention, however, is how to update the template so that it remains a good model of the tracked object. We propose a template update algorithm that avoids the "drifting" inherent in the naive algorithm.
  • Keywords
    computer vision; optimisation; Lucas-Kanade algorithm; template tracking; template update problem; Active appearance model; Computer vision; Error correction; Heuristic algorithms; Image converters; Pixel; Region 5; Tracking; Video sequences; Template tracking; active appearance models.; the Lucas-Kanade algorithm; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Video Recording;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2004.16
  • Filename
    1288530