• DocumentCode
    3260121
  • Title

    Trajectory Analysis for Soccer Players

  • Author

    Kang, Chan-Hyun ; Hwang, Jung-Rae ; Li, Ki-Joune

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Pusan Nat. Univ.
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    377
  • Lastpage
    381
  • Abstract
    In order to make good strategies, soccer coaches analyze the archives of matches, which can be effectively considered as a set of trajectories. We can extract several useful information by analyzing the trajectories of moving objects, which consist of 22 players and a ball. Since each moving object interacts with others and produces a trajectory, its trajectory has a certain number of relationships with others, which are a basic type of information to make soccer strategies. In this paper, we propose a model to quantitatively express the performance of soccer players. This model is based on the relationships between trajectories of 22 players and a ball and allows to evaluate the performance of several players in quantitative way
  • Keywords
    sport; moving object trajectory; soccer player performance; soccer strategy; trajectory analysis; Books; Computer science; Conferences; Data mining; Geographic Information Systems; Information analysis; Performance analysis; Physics; Statistical analysis; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    0-7695-2702-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2006.160
  • Filename
    4063657