• DocumentCode
    2509079
  • Title

    Embedded hardware face detection

  • Author

    Theocharides, T. ; Link, G. ; Vijaykrishnan, N. ; Irwin, M.J. ; Wolf, W.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2004
  • fDate
    2004
  • Firstpage
    133
  • Lastpage
    138
  • Abstract
    Face detection is the first step towards face recognition and is a vital task in surveillance and security applications. Current software implementations of face detection algorithms lack the computational ability to support detection in real time video streams. Consequently, this work focuses on the design of special-purpose hardware for performing rotation invariant face detection. The synthesized design using 160 nm technology is found to operate at 409.5 kHz providing a throughput of 424 frames per second and consumes 7 Watts of power. The synthesized design provided 75% accuracy in detecting faces from a set of 55 images that is competitive with existing software implementations that provide around 80-85% accuracy.
  • Keywords
    embedded systems; face recognition; neural nets; real-time systems; surveillance; 160 nm; 409.5 kHz; 7 W; computational ability; embedded hardware face detection; face recognition; neural nets; real time video streams; security applications; surveillance; Cameras; Computer science; Face detection; Face recognition; Field programmable gate arrays; Hardware; Real time systems; Robot vision systems; Security; Software algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Design, 2004. Proceedings. 17th International Conference on
  • Print_ISBN
    0-7695-2072-3
  • Type

    conf

  • DOI
    10.1109/ICVD.2004.1260915
  • Filename
    1260915