Hudson, Chris and Goodwill, Simon and Kelley, John (2015). Automated tracking of swimmers in the clean swimming phase of a race. SHU Research Data Archive (SHURDA). http://doi.org/10.17032/shu-150005
Summary
Two-dimensional, image-based, motion analysis of a swimmer’s performance using a wide field of view. Manual and automated tracking of swimmers using this view.
| Keywords: | Swimming, 2D motion analysis, Camera calibration, Lens distortion | ||||||
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| Creators: | |||||||
| Academic units: | Faculty of Health and Wellbeing (HWB) > Research Centres > Centre for Sports Engineering Research (CSER) | ||||||
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| Copyright Holders: | Sheffield Hallam University | ||||||
| Publisher of the data: | SHU Research Data Archive (SHURDA) | ||||||
| Publication date: | 12 October 2015 | ||||||
| Data last accessed: | 17 June 2021 | ||||||
| DOI: | http://doi.org/10.17032/shu-150005 | ||||||
| SHURDA URI: | https://shurda.shu.ac.uk/id/eprint/3 | ||||||
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