• DocumentCode
    2438590
  • Title

    Improved Watershed Lips Detection and Modified H8 Tracking System Based on Lyapunov Stability Theory

  • Author

    Chin, Siew Wen ; Seng, Kah Phooi ; Ang, Li-Minn ; Lim, King Hann

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. of Nottingham Malaysia campus, Semenyih, Malaysia
  • Volume
    2
  • fYear
    2009
  • fDate
    26-27 Aug. 2009
  • Firstpage
    355
  • Lastpage
    358
  • Abstract
    This paper presents an automatic lips detection and tracking system using the improved watershed algorithm and a new modified Hinfin tracking system based on Lyapunov stability theory (LST). A direct lips detection approach using watershed segmentation without preliminary face localization is proposed. The watershed lips detection system is improved to get rid of the face rotation circumstances. Furthermore, the conventional Hinfin filter is modified according to the LST to ensure that the lips tracking algorithm is always in the stable condition and the tracking error would be asymptotically converge to zero as the time approaching to infinity. The proposed system is evaluated and the simulation results reveal an appreciable performance.
  • Keywords
    Lyapunov methods; asymptotic stability; error statistics; face recognition; filtering theory; image segmentation; tracking; Hinfin filter; face rotation; lyapunov stability theory; modified Hinfin tracking system; stable condition; watershed lip detection; watershed segmentation; Detection algorithms; Estimation error; Face detection; Filtering; Filters; H infinity control; Lips; Lyapunov method; Signal processing algorithms; Skin; H8 filter; Lips Tracking; Lips colour modelling; Lips detection; Lyapunov stability theory; Watershed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
  • Conference_Location
    Hangzhou, Zhejiang
  • Print_ISBN
    978-0-7695-3752-8
  • Type

    conf

  • DOI
    10.1109/IHMSC.2009.212
  • Filename
    5335967