Continuous football player tracking from discrete broadcast data Article Swipe
Matthew J. Penn
,
Christl A. Donnelly
,
Samir Bhatt
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1098/rsos.251175
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1098/rsos.251175
Player tracking data remain out of reach for many professional football teams, as their video feeds are not sufficiently high quality for computer vision technologies to be used. To help bridge this gap, we present a method that can estimate continuous full-pitch tracking data from discrete data made from broadcast footage. Such data could be collected by clubs or players at a similar cost to event data, which are widely available down to the semi-professional level. We test our method using open-source tracking data and include a version that can be applied to a large set of over 200 games with such discrete data.
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Continuous football player tracking from discrete broadcast dataWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-10-01Full publication date if available
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Matthew J. Penn, Christl A. Donnelly, Samir BhattList of authors in order
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https://doi.org/10.1098/rsos.251175Publisher landing page
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goldOpen access status per OpenAlex
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https://doi.org/10.1098/rsos.251175Direct OA link when available
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0Total citation count in OpenAlex
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