DocumentCode :
3082386
Title :
Tracking a table tennis ball for umpiring purposes
Author :
Myint, Hnin ; Wong, Patrick ; Dooley, Laurence ; Hopgood, Adrian
Author_Institution :
Open Univ., Milton Keynes, UK
fYear :
2015
fDate :
18-22 May 2015
Firstpage :
170
Lastpage :
173
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.
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision Applications (MVA), 2015 14th IAPR International Conference on
Conference_Location :
Tokyo
Type :
conf
DOI :
10.1109/MVA.2015.7153160
Filename :
7153160
Link To Document :
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