• DocumentCode
    2863717
  • Title

    Using the Image Recognition Techniques to Implement an Automatic Examining Mechanism for the Sports Fitness

  • Author

    Tzeng, Ching-Biau ; Wey, Tzuu-Shaang

  • Author_Institution
    Dept. of Electron. Eng., Kun-Shan Univ., Tainan, Taiwan
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    77
  • Lastpage
    80
  • Abstract
    In this paper, a color-based recognition approach is proposed to recognize and track the trajectory of moving object and use this approach for the examining of sports fitness to construct an automatic examining system. The quantity for the specific movements will be measured and counted by this system to substitute for traditional method to eliminate the error due to subjective evaluation. This automatic examining system can reduce the error rates as well as decrease the use of manpower, and to reduce the overall examining time effectively. So, doing the examination of sports fitness by this system in the campus is so easy, convenient, and practical, and it is not rigidly suffer from the manpower issue, the venue and the inconsistent action. It seems from the experimental results, this proposed method can indeed achieve the goal of automatic examining and will be focused on the promotion of the design and application of the overall system.
  • Keywords
    image colour analysis; image motion analysis; image recognition; object recognition; object tracking; sport; automatic examining mechanism; color-based recognition approach; image recognition techniques; moving object recognition; moving object trajectory tracking; sports fitness; Education; Humans; Image color analysis; Image recognition; Low pass filters; Software; Trajectory; Color recognition; Image recognition; Sports;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on
  • Conference_Location
    Shenzhan
  • Print_ISBN
    978-1-4577-1219-7
  • Type

    conf

  • DOI
    10.1109/IBICA.2011.24
  • Filename
    6118797