• DocumentCode
    1864432
  • Title

    An Automated Face Recognition System for Intelligence Surveillance: Smart Camera Recognizing Faces in the Crowd

  • Author

    Mustafah, Y.M. ; Azman, A.W. ; Bigdeli, A. ; Lovell, B.C.

  • Author_Institution
    NICTA, Brisbane
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    147
  • Lastpage
    152
  • Abstract
    Smart cameras are rapidly finding their way into intelligent surveillance systems. Recognizing faces in the crowd in real-time is one of the key features that will significantly enhance intelligent surveillance systems. The main challenge is the fact that the high volumes of data generated by high-resolution sensors make it computationally impossible for mainstream computers to process. In our proposed technique, the smart camera extracts all the faces from the full-resolution frame and sends the pixel information from these face areas to the main processing unit as a auxiliary video stream - potentially achieving massive data rate reduction. Face recognition software running on the main processing unit then performs the required pattern recognition.
  • Keywords
    cameras; face recognition; image resolution; video streaming; video surveillance; automated face recognition system; auxiliary video stream; high-resolution sensor; intelligent surveillance system; mainstream computer; pattern recognition; smart camera; Computational intelligence; Data mining; Face recognition; Intelligent sensors; Intelligent systems; Real time systems; Smart cameras; Smart pixels; Streaming media; Surveillance; FPGA; High Resolution; Smart Camera; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Smart Cameras, 2007. ICDSC '07. First ACM/IEEE International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-1-4244-1354-6
  • Electronic_ISBN
    978-1-4244-1354-6
  • Type

    conf

  • DOI
    10.1109/ICDSC.2007.4357518
  • Filename
    4357518