Automated data and video processing in track cycling
(Automatisierte Daten- und Videoverarbeitung im Bahnradfahren)
Recent advances in sports data analytics have driven the development of integrated performance monitoring systems. This abstract describes the implementation and uses cases of integrating a pan-tilt-zoom (PTZ) camera into the existing Wireless Cycling Network (WCN) deployed at the Wielercentrum Eddy Merckx in Gent, Belgium. WCN combines a precise timing system, ANT+ sensor data collection and an anaerobic capacity (W`) estimation. Automated PTZ camera tracking and recording enables immediate visual analysis by coaches. AI-computer vision models are used for detection and qualitative analysis of team pursuit changeovers. In addition to elite use cases, general engagement can be improved with event-specific real-time data display and personalized videos and session reports. These integrated capabilities and the modular design streamline coaching workflows and provide a platform for future applications across various track-based sports. Future work includes further development of analysis tools to support coaches, production deployment of the complete system and implementing it at additional tracks.
© Copyright 2025 Journal of Science and Cycling. Cycling Research Center. Alle Rechte vorbehalten.
| Schlagworte: | |
|---|---|
| Notationen: | Ausdauersportarten Naturwissenschaften und Technik |
| Veröffentlicht in: | Journal of Science and Cycling |
| Sprache: | Englisch |
| Veröffentlicht: |
2025
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| Jahrgang: | 14 |
| Heft: | 2 |
| Seiten: | 9 |
| Dokumentenarten: | Artikel |
| Level: | hoch |