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Volume: 29 | Article ID: art00002
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Virtual tracking shots for sports analysis
  DOI :  10.2352/ISSN.2470-1173.2017.16.CVAS-342  Published OnlineJanuary 2017
Abstract

Reviewing athletic performance is a critical part of modern sports training, but snapshots only showing part of a course or exercise can be misleading, while travelling cameras are expensive. In this paper we describe a system merging the output of many autonomous inexpensive camera nodes distributed around a course to reliably synthesize tracking shots of multiple athletes training concurrently. Issues such as uncontrolled lighting, athlete occlusions and overtaking/pack-motion are dealt with, as is compensating for the quirks of cheap image sensors. The resultant system is entirely automated, inexpensive, scalable and provides output in near real-time, allowing coaching staff to give immediate and relevant feedback on a performance. Requiring no alteration to existing training exercises has boosted the system's uptake by coaches, with over 100,000 videos recorded to date.

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Stuart Bennett, Joan Lasenby, Tony Purnell, "Virtual tracking shots for sports analysisin Proc. IS&T Int’l. Symp. on Electronic Imaging: Computer Vision Applications in Sports,  2017,  pp 4 - 9,  https://doi.org/10.2352/ISSN.2470-1173.2017.16.CVAS-342

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Copyright © Society for Imaging Science and Technology 2017
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Electronic Imaging
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