High-motion table tennis ball tracking for umpiring applications

Wong, Patrick and Dooley, Laurence (2010). High-motion table tennis ball tracking for umpiring applications. In: IEEE 10th International Conference on Signal Processing, 24-28 Oct 2010, Beijing, China.

Full text available as:

Preview

PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader Download (262kB)

DOI (Digital Object Identifier) Link:	https://doi.org/10.1109/ICOSP.2010.5657001
Google Scholar:	Look up in Google Scholar

Abstract

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 or Workshop 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. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Keywords:	image processing; image segmentation; object detection; object tracking; computer applications; table tennis; ping pong
Academic Unit/School:	Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group:	Centre for Research in Computing (CRC)
Item ID:	22629
Depositing User:	Patrick Wong
Date Deposited:	04 Aug 2010 13:40
Last Modified:	02 May 2018 13:14
URI:	http://oro.open.ac.uk/id/eprint/22629
Share this page:

Metrics

Altmetrics from Altmetric	Citations from Dimensions

Actions (login may be required)

RDF+XMLBibTeXRIOXX2 XMLRDF+N-TriplesJSONDublin CoreAtomSimple MetadataReferMETSHTML CitationASCII CitationRefMan RIS Format (UTF-8)OpenURL ContextObjectEndNoteMODSOpenURL ContextObject in SpanMPEG-21 DIDLEP3 XMLRefMan RIS FormatRDF+N3