• DocumentCode
    1879119
  • Title

    Using camera motion to identify types of American football plays

  • Author

    Lazarescu, Mihai ; Venkatesh, Svetha

  • Author_Institution
    Sch. of Comput., Curtin Univ. of Technol., Perth, WA, Australia
  • Volume
    2
  • fYear
    2003
  • fDate
    6-9 July 2003
  • Abstract
    This paper presents a method that uses camera motion parameters to recognise 7 types of American football plays. The approach is based on the motion information extracted from the video and it can identify short and long pass plays, short and long running plays, quarterback sacks, punt plays and kickoff plays. This method has the advantage that it is fast and it does not require player or ball tracking. The system was trained and tested using 782 plays and the results show that the system has an overall classification accuracy of 68%.
  • Keywords
    image motion analysis; image segmentation; sport; video cameras; video signal processing; American football plays; camera motion parameters; image segmentation; motion information; Cameras; Data mining; Games; Image analysis; Image segmentation; Machine assisted indexing; Robustness; Supervised learning; System testing; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on
  • Print_ISBN
    0-7803-7965-9
  • Type

    conf

  • DOI
    10.1109/ICME.2003.1221583
  • Filename
    1221583