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SMPTE Motion Imaging Journal ( Volume: 132, Issue: 10, 2023)
[ACTIVE]

Sports Production Through AI-Powered Sports Action Tracking and PTZ Cameras

Metadata

Publisher
SMPTE — White Plains, NY, USA
Doc Type
Journal Article
Content Type
Original Research
Abbreviated Title
SMPTE Mot. Imag. J
Volume
132, No. 10, pp. 6–12
Abstract
Consumer expectation when it comes to the viewing experience is often based on watching tier 1 sports productions. In response, sports programmers are searching for solutions that deliver an engaging experience at a cost that is in line with the available budget. Artificial intelligence (AI)-driven sports production solutions have been available for some time. But to date, the ability to accurately track sporting action combined with visual clarity has been a challenge. This article describes how a panoramic camera system can be implemented to monitor the entire field of play, to feed an AI system that identifies the sporting action. Furthermore, how the AI engine can drive a high-quality pan-tilt-zoom (PTZ) camera to follow the action to deliver the program feed is also described. The article also discusses how the AI engine can accurately point the PTZ camera—taking into account video and AI processing delays, how those processing latencies can be measured, to forward-predict directional vectors and correctly point the program feed camera irrespective of distance from the camera and the variation in angular velocity realized.
Publication Date
2023-11-01
DOI
10.5594/JMI.2023.3321102
ISSN
Print: 1545-0279 | Electronic: 2160-2492
Link
https://doi.org/10.5594/JMI.2023.3321102
Author(s)
David Edwards
bio
David Edwards has been innovating in broadcast for more than 20 years, from MPEG-4 HD satellite systems to the revolution in IP architectures. He is now exploring how AI can automate video production.
Siddhi Imming
bio
Siddhi Imming is a software engineer experienced in using image recognition as part of control systems. He has been applying these skills to enhance AI sports production technology.
Keyword(s)
Artificial Intelligence, Picture Quality, Pan-tilt-zoom (PTZ), Sports Action Tracking
Copyright
© 2023 SMPTE
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David Edwards and Siddhi Imming; Sports Production Through AI-Powered Sports Action Tracking and PTZ Cameras, SMPTE Motion Imaging Journal ( Volume: 132, Issue: 10, 2023); SMPTE, 2023. Available at https://doi.org/10.5594/JMI.2023.3321102
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David Edwards and Siddhi Imming; Sports Production Through AI-Powered Sports Action Tracking and PTZ Cameras, SMPTE Motion Imaging Journal ( Volume: 132, Issue: 10, 2023); SMPTE, 2023. Available at https://doi.org/10.5594/JMI.2023.3321102

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David Edwards and Siddhi Imming; Sports Production Through AI-Powered Sports Action Tracking and PTZ Cameras, SMPTE Motion Imaging Journal ( Volume: 132, Issue: 10, 2023); SMPTE, 2023. Available at https://doi.org/10.5594/JMI.2023.3321102
Snippet:
<span class="citation">David Edwards and Siddhi Imming; <cite>Sports Production Through AI-Powered Sports Action Tracking and PTZ Cameras</cite>, SMPTE Motion Imaging Journal ( Volume: 132, Issue: 10, 2023); SMPTE, 2023. Available at <a href="https://doi.org/10.5594/JMI.2023.3321102" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2023.3321102</a></span>

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David Edwards and Siddhi Imming; Sports Production Through AI-Powered Sports Action Tracking and PTZ Cameras, SMPTE Motion Imaging Journal ( Volume: 132, Issue: 10, 2023); SMPTE, 2023
doi: 10.5594/JMI.2023.3321102
url: https://doi.org/10.5594/JMI.2023.3321102
Snippet:
<li>
David Edwards and Siddhi Imming; <cite id="bib-10-5594-jmi-2023-3321102">Sports Production Through AI-Powered Sports Action Tracking and PTZ Cameras</cite>, SMPTE Motion Imaging Journal ( Volume: 132, Issue: 10, 2023); SMPTE, 2023
<span class="doi">10.5594/JMI.2023.3321102</span>
</li>