• DocumentCode
    2646395
  • Title

    Effective bi-directional people flow counting for real time surveillance system

  • Author

    Yam, Kin-Yi ; Siu, Wan-chi ; Law, Ngai-Fong ; Chan, Chok-Ki

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Hong Kong, China
  • fYear
    2011
  • fDate
    9-12 Jan. 2011
  • Firstpage
    863
  • Lastpage
    864
  • Abstract
    In this paper, an object based bi-directional counting system is proposed, which comprises of an advanced object detection and tracking algorithm to count the people flow in the monitoring scene. The result of which shows that the approach can provide about 90% accuracy for bi-directional people counting with an angle of 45° to the scene.
  • Keywords
    object detection; object tracking; real-time systems; video surveillance; bi-directional counting system; monitoring scene; object detection; people flow counting; real time surveillance system; tracking algorithm; Calibration; Cameras; Humans; Object detection; Surveillance; Three dimensional displays; Surveillance system; bidirectional counting; counting algorithm; scene calibration and object detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2011 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2158-3994
  • Print_ISBN
    978-1-4244-8711-0
  • Type

    conf

  • DOI
    10.1109/ICCE.2011.5722907
  • Filename
    5722907