Combining video and player telemetry for evidence-based decisions in soccer
Abstract: Technology is changing how soccer clubs train and interact with their supporters. Systems that provide ac-quisition and visualization of low-level player telemetry, like distance covered and speed, are already being widely adopted. A key observation is that such data when correlated with a...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Text |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.484.1310 http://heim.ifi.uio.no/~paalh/publications/files/icSport2013.pdf |
| Summary: | Abstract: Technology is changing how soccer clubs train and interact with their supporters. Systems that provide ac-quisition and visualization of low-level player telemetry, like distance covered and speed, are already being widely adopted. A key observation is that such data when correlated with actual in-game video footage is a powerful tool for evidence-based decisions. As data volume and complexity grow, efficient tools for auto-mated high-precision retrieval become essential. This paper describes the unique combination of a radio-based sensor platform and several custom video retrieval systems in operational use at Tromsø Idrettslag (TIL), a Norwegian premier league soccer club. The systems have been developed using an experimental computer-science method where several prototypes were built and deployed for evaluation in close collaboration with the intended users. Although our method of computer-system prototyping has not yielded commercial quality products, it has enabled us to construct several novel systems combining low-level player telemetry with video retrieval, annotations, and user-centric security. 1 |
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