• DocumentCode
    795085
  • Title

    Automatic pedestrian counting using image processing techniques

  • Author

    Zhang, X. ; Sexton, G.

  • Author_Institution
    Dept. of Electr., Electron. Eng. & Phys., Northumbria Univ., Newcastle Upon Tyne, UK
  • Volume
    31
  • Issue
    11
  • fYear
    1995
  • fDate
    5/25/1995 12:00:00 AM
  • Firstpage
    863
  • Lastpage
    865
  • Abstract
    A new image processing algorithm used for pedestrian counting is introduced. The algorithm was ported to a TMS320C50 based platform and performs the pedestrian counting task in real time. The system has been tested at St Lazare Railway Station in Paris with better than 80% accuracy in the counting results
  • Keywords
    computer vision; image processing; image recognition; image segmentation; Paris; St Lazare Railway Station; TMS320C50 based platform; automatic pedestrian counting; image processing algorithm; image processing techniques; real time;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19950574
  • Filename
    390941
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=795085