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Video Analytics in Elite Soccer: A Distributed Computing Perspective.

Debesh Jha1, Ashish Rauniyar2, Håvard D Johansen3

  • 1Northwestern University, USA.

Proceedings of the ... IEEE Sensor Array and Multichannel Signal Processing Workshop : SAM. IEEE Sensor Array and Multichannel Signal Processing Workshop
|February 23, 2023
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Summary
This summary is machine-generated.

Ubiquitous sensors and Internet of Things (IoT) enhance sports analytics for real-time player performance evaluation. This paper reviews video analytics and machine learning in elite soccer, discussing data collection and future research.

Keywords:
Soccerartificial intelligencefog computingmatch analysisplayer monitoring systemsportsvideo analytics

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Area of Science:

  • Sports Science
  • Data Science
  • Computer Vision

Background:

  • Ubiquitous sensors and Internet of Things (IoT) are transforming sports, enabling advanced training planning and post-match analysis.
  • Machine learning, image, and video processing facilitate real-time player performance tracking.
  • FIFA's 2015 approval of electronic performance and tracking systems allows extensive data collection via GPS wearables during games.

Purpose of the Study:

  • To present video analytics in professional soccer.
  • To review state-of-the-art literature on elite soccer performance analysis.
  • To summarize existing real-time video analytics algorithms.

Main Methods:

  • Review of recent literature on video analytics in elite soccer.
  • Examination of real-time video analytics algorithms.
  • Discussion of data crowdsourcing, distributed computing, and performance metrics.

Main Results:

  • The study synthesizes current methodologies in sports video analytics.
  • It highlights the increasing volume of performance data collection from practice and games.
  • Existing real-time video analytics algorithms are summarized.

Conclusions:

  • Video analytics, powered by IoT and machine learning, is crucial for modern soccer performance evaluation.
  • Real-time data collection and distributed computing are vital for tactical and technical analysis.
  • Future research should explore advanced applications of these technologies in sports.