Wong, Patrick and Dooley, Laurence
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|DOI (Digital Object Identifier) Link:||https://doi.org/10.1109/ICOSP.2010.5657001|
|Google Scholar:||Look up in Google Scholar|
Table-tennis umpiring presents many challenges where technology can be judiciously applied to enhance decision-making, especially in the service facet of the game. This paper presents a system to automatically detect and track the ball during table-tennis services to enable precise judgment over their legitimacy. The system comprises a suite of algorithms that adaptively exploit spatial and temporal information from real match videos, which are generally characterized by high object motion, allied with object blurring and occlusion. Experimental results on various table-tennis test videos corroborate the system performance in facilitating accurate and efficient decision-making over the validity of a service.
|Item Type:||Conference Item|
|Copyright Holders:||2010 IEEE|
|Extra Information:||Published in IEEE 10th International Conference on Signal Processing (ICSP), 2010, ISBN: 978-1-4244-5897-4, pages 2460-2463.
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|Keywords:||image processing; image segmentation; object detection; object tracking; computer applications; table tennis; ping pong|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Patrick Wong|
|Date Deposited:||04 Aug 2010 13:40|
|Last Modified:||05 Oct 2016 10:32|
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