• DocumentCode
    584610
  • Title

    Head Movement Recognition Based on Lucas-Kanade Algorithm

  • Author

    Zhao, Zheng ; Wang, Yuchuan ; Fu, Shengbo

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    2303
  • Lastpage
    2306
  • Abstract
    This paper researched some methods about head movements recognition, in allusion to some defects in these methods, we raised a new method based on the Lucas-Kande algorithm. In order to identify head movements accurately, in this paper, we detected face first, then located the nostrils, finally tracked the nostrils using Lucas-Kanade optical flow algorithm. The experimental results show that this method is robust and real-time. At the same time, it can recognize the bow and turn face aside well.
  • Keywords
    face recognition; feature extraction; image sequences; object detection; Lucas-Kanade optical flow algorithm; bow face recognition; face detection; feature tracking; head movements identification; head movements recognition; turn face recognition; Eigenvalues and eigenfunctions; Face; Face recognition; Feature extraction; Tracking; Lucas-Kanade algorithm; feature tracking; head movement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.571
  • Filename
    6394889