• DocumentCode
    2090818
  • Title

    Automatic extraction of specific scene from sports video

  • Author

    Oyama, Tadahiro ; Nakao, Daiki

  • Author_Institution
    Department of Electronic Engineering, Kobe City College of Technology, 8-3 Gakuen-Higashimachi Nishiku, Kobe City, Hyogo, Japan
  • fYear
    2015
  • fDate
    May 31 2015-June 3 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In recent years, ICT devices such as personal computer and video camera, tablet devices have been introduced actively in the field of ball sports. As one example, before the game is also carried out analysis of the opposing team using recorded video. In this paper, we consider the method to extract the desired scenes from the game video automatically for coaching support in the rugby sports. HOG and SVM were combined and verified whether human detection and scene extraction were possible from the actual game video. The experimental results, extraction of persons could be performed. However, it has been understood that the further verification is necessary for the scene extraction.
  • Keywords
    Accuracy; Brightness; Cameras; Feature extraction; Games; Histograms; Support vector machines; HOG; SVM; human detection; rugby; scene extraction; sports video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2015 10th Asian
  • Conference_Location
    Kota Kinabalu, Malaysia
  • Type

    conf

  • DOI
    10.1109/ASCC.2015.7244727
  • Filename
    7244727