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 language | English |
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Title of host publication | 2015 14th IAPR International Conference on Machine Vision Applications (MVA) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 170-173 |
Number of pages | 4 |
ISBN (Electronic) | 978-4-9011-2214-6 , 978-4-9011-2215-3 |
ISBN (Print) | 978-1-4799-8247-9 |
DOIs | |
Publication status | Published - 13 Jul 2015 |
Event | 14th IAPR International Conference on Machine Vision Applications - Tokyo, Japan Duration: 18 May 2015 → 22 May 2015 |
Conference
Conference | 14th IAPR International Conference on Machine Vision Applications |
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Abbreviated title | MVA 2015 |
Country/Territory | Japan |
City | Tokyo |
Period | 18/05/15 → 22/05/15 |
Keywords
- video signal processing
- image capture
- image colour analysis
- image sequences
- object tracking