• DocumentCode
    1551863
  • Title

    Real-time high density people counter using morphological tools

  • Author

    Albiol, Antonio ; Mora, Inmaculada ; Naranjo, Valery

  • Author_Institution
    Departamento de Comunicaciones, Univ. Politecnica de Valencia, Spain
  • Volume
    2
  • Issue
    4
  • fYear
    2001
  • fDate
    12/1/2001 12:00:00 AM
  • Firstpage
    204
  • Lastpage
    218
  • Abstract
    Deals with an application of image sequence analysis. In particular, it addresses the problem of determining the number of people who get into and out of a train carriage when it is crowded, and background and/or illumination changes. The proposed system analyzes image sequences and processes them using an algorithm based on the use of several morphological tools, which are presented in detail in the paper
  • Keywords
    image segmentation; image sequences; mathematical morphology; object detection; railways; surveillance; transportation; computer vision; image sequence analysis; morphological tools; real-time high density people counter; train carriage; Algorithm design and analysis; Cameras; Costs; Counting circuits; Hardware; Image analysis; Image sequence analysis; Image sequences; Lighting; Rail transportation;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/6979.969366
  • Filename
    969366
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1551863