• DocumentCode
    1938671
  • Title

    VLSI systems for embedded video

  • Author

    Wolf, Wayne ; Ozer, Burak ; Lv, Tiehan

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., NJ, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper describes our work in smart cameras as a driver application for very deep submicron VLSI systems. A smart camera uses on-board computing engines to analyze video in real time. In particular, we use algorithms for realtime human gesture recognition as an example of the sorts of next-generation video applications that will be implemented in future VLSI systems. This paper introduces smart camera applications and outlines some of the VLSI challenges posed by such systems
  • Keywords
    VLSI; gesture recognition; smart pixels; video signal processing; VLSI systems; embedded video; next-generation video applications; on-board computing engines; realtime human gesture recognition; smart cameras; very deep submicron systems; Face detection; Face recognition; Humans; Layout; Pattern recognition; Smart cameras; Streaming media; Surveillance; Very large scale integration; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI, 2002. Proceedings. IEEE Computer Society Annual Symposium on
  • Conference_Location
    Pittsburgh, PA
  • Print_ISBN
    0-7695-1486-3
  • Type

    conf

  • DOI
    10.1109/ISVLSI.2002.1016865
  • Filename
    1016865