• DocumentCode
    2871364
  • Title

    Real-time high density people counter using morphological tools

  • Author

    Albiol, Antonio ; Naranjo, Valery ; Mora, Inmaculada

  • Author_Institution
    Dept. de Comunicaciones, Univ. Politecnica de Valencia, Spain
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    652
  • Abstract
    The paper 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 might change. The proposed system analyses image sequences and processes them using an algorithm based on the use of several morphological tools and optical flow motion estimation
  • Keywords
    image sequences; mathematical morphology; railways; surveillance; image sequence analysis; morphological tools; optical flow motion estimation; real-time high density people counter; Algorithm design and analysis; Cameras; Counting circuits; Image analysis; Image sequence analysis; Image sequences; Lighting; Rail transportation; Surface morphology; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.903002
  • Filename
    903002