• DocumentCode
    694425
  • Title

    Research of people counting based on face detection and area-tracking

  • Author

    Huajie Wu ; Limin Meng ; Jinxue Pan

  • Author_Institution
    Zhejiang Provincial Key Lab. Of Commun. & Networks, Zhejiang Univ. of Technol., Hangzhou, China
  • fYear
    2013
  • fDate
    12-13 Oct. 2013
  • Firstpage
    525
  • Lastpage
    528
  • Abstract
    This paper proposes a novel system for people counting based on face detection and tracking. Through the real time processing of video image gotten from monitor devices, the system detect the faces and combine with set people counting area to realize automatic people counting. In this system, firstly we set face tracking area and people counting area, then use AdaBoost and skin color character algorithm to detect faces and use camshift algorithm to track them, at last count people when the center point of tracking section passes the people counting area. Experiment result demonstrates this system has relatively high efficiency and accuracy.
  • Keywords
    face recognition; image colour analysis; learning (artificial intelligence); object detection; object tracking; video signal processing; AdaBoost; area-tracking; automatic people counting; camshift algorithm; face detection; face tracking area; monitor devices; people counting area; real time processing; skin color character algorithm; tracking section; video image; Accuracy; Face; Face detection; Image color analysis; Monitoring; Skin; Target tracking; AdaBoost algorithm; camshift algorithm; face area-tracking; face detection; skin detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
  • Conference_Location
    Dalian
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2013.6967168
  • Filename
    6967168