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.

Bibliographische Detailangaben
Schlagworte:
Notationen:Ausdauersportarten Naturwissenschaften und Technik
Veröffentlicht in:Journal of Science and Cycling
Sprache:Englisch
Veröffentlicht: 2025
Jahrgang:14
Heft:2
Seiten:9
Dokumentenarten:Artikel
Level:hoch