• DocumentCode
    534267
  • Title

    Research of Visual Features Detection and Tracking Methods about Audio-Visual Bimodal Speech Recognition

  • Author

    Lirong, Wang ; Jing, Xu ; Yanyan, Zhao

  • Author_Institution
    Dept. of Electron. & Inf., Univ. of ChangChun, ChangChun, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 July 2010
  • Firstpage
    204
  • Lastpage
    207
  • Abstract
    Audio-visual bimodal speech recognition can improve speech recognition rate, the lip detection, location and tracking is the key of bimodal speech recognition system. This article discusses the lip detection, location and tracking algorithms of bimodal speech recognition. Locate lips precisely by use geometric structure of face, relative position of lips and separable color information of color space. Using adaptive color filter to segment the lip contour effectively, and use PMM algorithm to locate and track lip precisely. Experimental results shown that the algorithms studied in this paper can detect, locate and track lips precisely, robustly and quickly.
  • Keywords
    Markov processes; adaptive filters; audio-visual systems; face recognition; image colour analysis; image segmentation; optical filters; speech recognition; PMM algorithm; adaptive color filter; audio visual bimodal speech recognition; color space information; feature tracking method; geometric face structure; lip contour segmentation; lip detection; visual feature detection; Image color analysis; Image segmentation; Information filters; Lips; Mouth; Skin; Speech recognition; audio-visual bimodal; lip detection; recognition; tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (IFITA), 2010 International Forum on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-7621-3
  • Electronic_ISBN
    978-1-4244-7622-0
  • Type

    conf

  • DOI
    10.1109/IFITA.2010.283
  • Filename
    5635120