• DocumentCode
    1629034
  • Title

    Real-time multi-view face detection

  • Author

    Zhang, Zhenqiu ; Zhu, Long ; Li, Stan Z. ; Zhang, Hongjiang

  • Author_Institution
    Inst. of Autom., Acad. Sinica, Beijing, China
  • fYear
    2002
  • Firstpage
    142
  • Lastpage
    147
  • Abstract
    We present a detector-pyramid architecture for real-time multi-view face detection. Using a coarse to fine strategy, the full view is partitioned into finer and finer views. Each face detector in the pyramid detects faces of its respective view range. Its training is performed by using a new meta booting learning algorithm. This results in the first real-time multi-view face detection system which runs at 5 frames per second for 320×240 image sequence
  • Keywords
    face recognition; image sequences; learning (artificial intelligence); object detection; real-time systems; detector-pyramid architecture; image sequence; meta booting learning algorithm; real-time multi-view face detection; training; view partitioning; view range; Asia; Automation; Detectors; Face detection; Face recognition; Image sequences; Neural networks; Principal component analysis; Support vector machine classification; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face and Gesture Recognition, 2002. Proceedings. Fifth IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7695-1602-5
  • Type

    conf

  • DOI
    10.1109/AFGR.2002.1004147
  • Filename
    1004147
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1629034