Tracking a table tennis ball for umpiring purposes

Hnin Myint, Patrick Wong, Laurence Dooley, Adrian Hopgood

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    This study investigates tracking a table-tennis ball rapidly from video captured using low-cost equipment for umpiring purposes. A number of highly efficient algorithms have been developed for this purpose. The proposed system was tested using sequences capture from real match scenes. The preliminary results of experiments show that accurate and rapid tracking can be achieved even under challenging conditions, including occlusion and colour merging. This work can contribute to the development of an automatic umpiring system and also has the potential to provide amateur users with open access to a detection tool for fast-moving, small, round objects.

    Original languageEnglish
    Title of host publication2015 14th IAPR International Conference on Machine Vision Applications (MVA)
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages170-173
    Number of pages4
    ISBN (Electronic)978-4-9011-2214-6 , 978-4-9011-2215-3
    ISBN (Print)978-1-4799-8247-9
    DOIs
    Publication statusPublished - 13 Jul 2015
    Event14th IAPR International Conference on Machine Vision Applications - Tokyo, Japan
    Duration: 18 May 201522 May 2015

    Conference

    Conference14th IAPR International Conference on Machine Vision Applications
    Abbreviated titleMVA 2015
    Country/TerritoryJapan
    CityTokyo
    Period18/05/1522/05/15

    Keywords

    • video signal processing
    • image capture
    • image colour analysis
    • image sequences
    • object tracking

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