• DocumentCode
    2403178
  • Title

    Vision-based real-time speed tracking

  • Author

    Chavan, Ajinkya ; Sasi, Sreela

  • Author_Institution
    Gannon Univ., Erie, PA, USA
  • fYear
    2005
  • fDate
    1-3 Sept. 2005
  • Firstpage
    16
  • Lastpage
    21
  • Abstract
    Motion-based features of a human can depict the approximate moving direction of the body while walking or slow running. But nearly all the motion-based features are not robust in capturing the speed of a moving person. In this research, a real-time vision-based method is proposed to compute the speed of a player during a soccer game using the image frames from video cameras placed in all the corners and mid-points of a soccer field. The coach´s main concern is to increase the dynamism and aggression among the teammates. Calculating the speed of each player helps the coach in determining a player´s performance (while team selection), and for repositioning a player during a game.
  • Keywords
    image motion analysis; real-time systems; tracking; motion-based features; soccer game; vision-based real-time speed tracking; Animation; Cameras; Computer vision; Games; Humans; Legged locomotion; Motion detection; Robustness; Security; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing, 2005 IEEE International Workshop on
  • Print_ISBN
    0-7803-9030-X
  • Electronic_ISBN
    0-7803-9031-8
  • Type

    conf

  • DOI
    10.1109/WISP.2005.1531625
  • Filename
    1531625