Accurate video tracking of indoor cycling races

Authors

  • Basile Pottier ENS de Lyon, CNRS, Laboratoire de Physique, F-69342 Lyon, France
  • Alexandra Mony ENS de Lyon, CNRS, Laboratoire de Physique, F-69342 Lyon, France
  • Vincent Dolique ENS de Lyon, CNRS, Laboratoire de Physique, F-69342 Lyon, France
  • Philippe Odier École Normale Supérieure de Lyon

Keywords:

Tracking video, Indoor cycling, Localization, Race modelling

Abstract

We present a computer vision method combining accurate field calibration and innovative localization algorithm, enabling to provide automatically the precise trajectory of cyclists on a track race hence allowing quantitative analyses, including power production estimates based on the measured trajectory combined with a physical model.

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Author Biographies

Alexandra Mony, ENS de Lyon, CNRS, Laboratoire de Physique, F-69342 Lyon, France

Ph-D student

Vincent Dolique, ENS de Lyon, CNRS, Laboratoire de Physique, F-69342 Lyon, France

Research Engineer

References

Decorte R., Verstockt S., & Slembrouck M. (2024). Multi-sensor based analysis of the changeovers in team pursuit. Journal of Science and Cycling, 13(2):33–38.

Clanet C., Odier P., Pottier B., & Brunet E. (2025). Equations of motion of a track cyclist: Active particle dynamics under strong geometric constraints. Phys. Rev. E, 112:044222. doi :10.1103/vm6w-d487

Published

2026-10-27

How to Cite

Pottier, B., Mony, A., Dolique, V., & Odier, P. (2026). Accurate video tracking of indoor cycling races. Journal of Science and Cycling, 15(2), 3. Retrieved from https://jsc-journal.com/index.php/JSC/article/view/1124

Issue

Vol. 15 No. 2 (2026): Special Issue of the 2026 Science & Cycling Congress | Barcelona - June

Section

Science & Cycling Conference, Barcelona 2026

Copyright (c) 2026 Journal of Science and Cycling

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