• DocumentCode
    3221271
  • Title

    Object detection with multiple cameras

  • Author

    Junior, Bruno Muller ; de Oliveira Anido, R.

  • Author_Institution
    Inst. of Comput., Unicamp, Campinas, Brazil
  • fYear
    2002
  • fDate
    5-6 Dec. 2002
  • Firstpage
    187
  • Lastpage
    192
  • Abstract
    The paper presents an algorithm for detecting objects from multiple cameras. The algorithm (1) minimizes the effect of shadows, (2) detects and solves occlusion and (3) fuses objects that are detected in more than one camera. The algorithm was developed as part of SORTTS (soccer real-time tracking system), a tracking system based on a set of video cameras that covers a large area. The paper also reports the results of this algorithm in a challenging application area for tracking: professional soccer games.
  • Keywords
    hidden feature removal; object detection; optical tracking; surveillance; video signal processing; multiple cameras; object detection; object fusion; occlusion; professional soccer games; shadow effect minimization; tracking system; video surveillance; Cameras; Object detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Motion and Video Computing, 2002. Proceedings. Workshop on
  • Print_ISBN
    0-7695-1860-5
  • Type

    conf

  • DOI
    10.1109/MOTION.2002.1182233
  • Filename
    1182233