• DocumentCode
    145685
  • Title

    Shot classification for association football from TV broadcasting

  • Author

    Siles, Francisco

  • Author_Institution
    Sch. of Electr. Eng., Univ. de Costa Rica, San Jose, Costa Rica
  • fYear
    2014
  • fDate
    23-25 Jan. 2014
  • Firstpage
    67
  • Lastpage
    71
  • Abstract
    The paper presents the shot classification algorithm used to classify the scenes from football TV broadcasting, to extract only the far view scenes. The far-view scenes are important for the segmentation and tracking of the players during the game, required for devising an abstract model for the interpretation of the game. The system for developing such a platform is named ACE-Football, and is currently being developed at the PRIS-lab. Results tested using whole games of the latest FIFA´s World Cup (FWC) are presented, and the classification algorithm validated using standard metrics, such as precision, recall and F1-score.
  • Keywords
    image classification; image segmentation; television broadcasting; ACE-Football; F1-score; FIFA world cup; FWC; PRIS-lab; TV broadcasting; association football; far view scenes; player segmentation; player tracking; precision; recall; shot classification; standard metrics; Algorithm design and analysis; Cameras; Classification algorithms; Equations; Games; Mathematical model; TV broadcasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics (SAMI), 2014 IEEE 12th International Symposium on
  • Conference_Location
    Herl´any
  • Print_ISBN
    978-1-4799-3441-6
  • Type

    conf

  • DOI
    10.1109/SAMI.2014.6822378
  • Filename
    6822378