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Tracking a table tennis ball for umpiring purposes
Myint, H.; Wong, P.; Dooley, L. et al.
2015In Machine Vision Applications (MVA), 2015 14th IAPR International Conference on, 
Peer reviewed
 

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Keywords :
image capture;  image colour analysis; image sequences; object tracking; video signal processing; colour merging; image sequence capture; occlusion; table tennis ball tracking; video capture; cameras; color; image color analysis; merging; motion segmentation; shape; trajectory
Abstract :
[en] 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.
Disciplines :
Computer science
Electrical & electronics engineering
Author, co-author :
Myint, H.
Wong, P.
Dooley, L.
Hopgood, Adrian ;  Université de Liège > HEC - Ecole de gestion de l'ULG : Direction générale
Language :
English
Title :
Tracking a table tennis ball for umpiring purposes
Publication date :
2015
Event name :
14th IAPR International Conference on Machine Vision Applications (MVA)
Event place :
Tokyo, Japan
Event date :
18-22 May, 2015
Audience :
International
Main work title :
Machine Vision Applications (MVA), 2015 14th IAPR International Conference on, 
Publisher :
IEEE
ISBN/EAN :
978-4-901122-15-3
Pages :
170-173
Peer reviewed :
Peer reviewed
Commentary :
170-173
Available on ORBi :
since 16 February 2016

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