• DocumentCode
    3362254
  • Title

    Research on the automatic human face recognition system

  • Author

    Li, Ming ; Sun, Yunda ; Yuan, Baozong ; You, Yaping

  • Author_Institution
    Inst. of lnf. Sci., Beijing Jiaotong Univ., China
  • Volume
    3
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    2584
  • Abstract
    In the novel (4-th generation) natural HCI protocol system. The techniques of human face detection, tracking and recognition are very important, which provided a friendly human computer interaction interfaces. These techniques also are the most challenging problems in this field. In this paper we studied the design and implementation of APRS. The APRS aimed to build up a real-time, robust and automatic system, which involved the face detection, tracking, recognition and other image and video processing tissue, it also built a database containing the feature data of different human faces. The APRS has the ability to detect, tracking and recognize the human faces which enter the camera´s range. Its promising applications include novel HCI, security, video surveillance, and etc.
  • Keywords
    face recognition; human computer interaction; protocols; tracking; HCI protocol system; automatic human face recognition system; human computer interaction interfaces; human face detection; human face recognition; human face tacking; Data security; Face detection; Face recognition; Human computer interaction; Image databases; Image recognition; Protocols; Real time systems; Robustness; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1442310
  • Filename
    1442310