Project Summary
The goal of this project was to elaborate a computer vision based method for the automatic tracking of golf clubs. It can provide additional information to the users such as club trajectory, speed and acceleration.
We developed a new visual tracking technology that relies on the use of a global motion model to achieve robustness. The challenging problem of retrieving the club head trajectory from ordinary video sequences of golf swings is a good application to demonstrate the effectiveness of this new approach. We have integrated it into a fully automated system that requires neither user intervention nor the use of instrumented golf club or clothing, and that is usable in a natural environment with a potentially cluttered background. Our algorithm robustly fits a global swing trajectory model to club location hypotheses obtained from single frames. This process makes our approach very robust.
Project partners
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Results
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Color-coded swing trajectories showing the local speed of the club head in terms of different speed ranges.
Relevant Publications
- A more detailed pdf presentation of our approach.
Visual Golf Club Tracking for Enhanced Swing Analysis Tools
2003. British Machine Vision Conference, Norwich, UK, p. 47.1-47.10. DOI : 10.5244/C.17.47.Robust Data Association For Online Applications
2003. DOI : 10.1109/CVPR.2003.1211365.Contacts
Vincent Lepetit | [email] |