Application of computer vision to automate notation for tactical analysis of badminton

Kokum Weeratunga, Khoo Boon How, Anuja Dharmaratne, Chris Messom

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    4 Citations (Scopus)


    In tactical analysis of fast-paced net-based sports such as badminton, the identification of habits and movement of an opponent provides an advantage in terms of reaction time, which results in a player obtaining control of the game. A tactical analyst in badminton segments the court using imaginary lines, and intuitively notates the position of a player according to those segments throughout the game. This paper presents a computer vision based approach to automate this notational process. Motion tracking of the badminton players identifies their position throughout the game. Different court segmentation patterns are tested to identify the borders of the segments to match the intuitive segmentation performed by a badminton tactical analyst. By application of a dynamic window for assigning players to court segments, we achieve an accuracy level of above 85%.

    Original languageEnglish
    Title of host publication13th International Conference on Control, Automation, Robotics and Vision (ICARCV 2014)
    EditorsHan Wang
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Number of pages6
    ISBN (Electronic)9781479951994
    ISBN (Print)9781479952007
    Publication statusPublished - 2014
    EventInternational Conference on Control, Automation, Robotics and Vision 2014 - Marina Bay Sands, Singapore
    Duration: 10 Dec 201412 Dec 2014
    Conference number: 13th (Proceedings)


    ConferenceInternational Conference on Control, Automation, Robotics and Vision 2014
    Abbreviated titleICARCV 2014
    CityMarina Bay Sands
    Internet address


    • Automation
    • Badminton
    • Court segmentation
    • Image processing
    • Tactical analysis

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