• DocumentCode
    2804030
  • Title

    Face detection and attentional frames for visually mediated interaction

  • Author

    Howell, A. Jonathan ; Buxton, Hilary

  • Author_Institution
    Sch. of Cognitive & Comput. Sci., Sussex Univ., Brighton, UK
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    143
  • Lastpage
    148
  • Abstract
    Introduces a set of effective computational techniques for understanding the visual aspects of human interaction, which could be used, for example, in videoconferencing applications. First, we present methods for face detection and the capture of attentional frames to focus the processing for visually mediated interaction. Second, we present methods for recognising the various gesture phases that can be used to control the camera systems in the integrated system. Finally, we discuss how these techniques can be extended to “virtual groups” of multiple people interacting at multiple sites
  • Keywords
    face recognition; gesture recognition; teleconferencing; attentional frames capture; camera system control; computational techniques; face detection; gesture phase recognition; human interaction; integrated system; interacting people; multiple sites; videoconferencing applications; virtual groups; visually mediated interaction; Application software; Cameras; Computer vision; Control systems; Face detection; Face recognition; Humans; Layout; Recurrent neural networks; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human Motion, 2000. Proceedings. Workshop on
  • Conference_Location
    Los Alamitos, CA
  • Print_ISBN
    0-7695-0939-8
  • Type

    conf

  • DOI
    10.1109/HUMO.2000.897384
  • Filename
    897384