• DocumentCode
    3256026
  • Title

    Real-Time Viola-Jones Face Detection in a Web Browser

  • Author

    Ephraim, Theo ; Himmelman, Tristan ; Siddiqi, Kaleem

  • Author_Institution
    Centre for Intell. Machines, McGill Univ., Montreal, QC, Canada
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    321
  • Lastpage
    328
  • Abstract
    This paper develops optimizations to the Viola-Jones face detection method to make it suitable for use in a Web browser running on a standard laptop or a desktop equipped with a Web cam. In this setting certain assumptions can be made about the number and location of faces to find, and information from a previous frame can help to localize the search. These optimizations lead to an algorithm which performs real-time face detection using a slow scripting language, even on low-end computers. Specifically, we have implemented the algorithm in Adobe Flash (ActionScript 3.0) and our implementation can be deployed via a Web browser without any extra installation. We invite readers to click on http://flashfacedetection.com and test it for themselves.
  • Keywords
    face recognition; online front-ends; ActionScript 3.0; Adobe Flash; Viola-Jones face detection; Web browser; Web cam; scripting language; Change detection algorithms; Computer science; Computer vision; Detectors; Face detection; Feeds; Intelligent robots; Object detection; Optimization methods; Robot vision systems; Flash; Haar-like features; face detection; real-time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision, 2009. CRV '09. Canadian Conference on
  • Conference_Location
    Kelowna, BC
  • Print_ISBN
    978-0-7695-3651-4
  • Type

    conf

  • DOI
    10.1109/CRV.2009.48
  • Filename
    5230503