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A Large-scale Analysis of Athletes’ Cumulative Race Time in Running Events

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Image Analysis and Processing – ICIAP 2023 (ICIAP 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14233))

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Abstract

Action recognition models and cumulative race time (CRT) are practical tools in sports analytics, providing insights into athlete performance, training, and strategy. Measuring CRT allows for identifying areas for improvement, such as specific sections of a racecourse or the effectiveness of different strategies. Human action recognition (HAR) algorithms can help to optimize performance, with machine learning and artificial intelligence providing real-time feedback to athletes. This paper presents a comparative study of HAR algorithms for CRT regression, examining two important factors: the frame rate and the regressor selection. Our results indicate that our proposal exhibits outstanding performance for short input footage, achieving a mean absolute error of 11 min when estimating CRT for runners that have been on the course for durations ranging from 8 to 20 h.

This work is partially funded by the the Spanish Ministry of Science and Innovation under project PID2021-122402OB-C22, and by the ACIISI-Gobierno de Canarias and European FEDER funds under project, ProID2021010012, ULPGC Facilities Net, and Grant EIS 2021 04.

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Authors and Affiliations

  1. SIANI, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    David Freire-Obregón, Javier Lorenzo-Navarro, Oliverio J. Santana, Daniel Hernández-Sosa & Modesto Castrillón-Santana

Authors
  1. David Freire-Obregón
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  2. Javier Lorenzo-Navarro
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  3. Oliverio J. Santana
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  4. Daniel Hernández-Sosa
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  5. Modesto Castrillón-Santana
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Corresponding author

Correspondence to David Freire-Obregón .

Editor information

Editors and Affiliations

  1. University of Udine, Udine, Italy

    Gian Luca Foresti

  2. University of Udine, Udine, Italy

    Andrea Fusiello

  3. University of York, York, UK

    Edwin Hancock

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Freire-Obregón, D., Lorenzo-Navarro, J., Santana, O.J., Hernández-Sosa, D., Castrillón-Santana, M. (2023). A Large-scale Analysis of Athletes’ Cumulative Race Time in Running Events. In: Foresti, G.L., Fusiello, A., Hancock, E. (eds) Image Analysis and Processing – ICIAP 2023. ICIAP 2023. Lecture Notes in Computer Science, vol 14233. Springer, Cham. https://doi.org/10.1007/978-3-031-43148-7_24

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  • DOI: https://doi.org/10.1007/978-3-031-43148-7_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43147-0

  • Online ISBN: 978-3-031-43148-7

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