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Robust Visual Golf Club Tracking
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
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.
N. Gehrig, V. Lepetit, and P. Fua.
"Golf Club Visual Tracking for Enhanced Swing Analysis Tools",
In proceedings of British Machine Vision Conference, September 2003.
V. Lepetit, A. Shahrokni, and P. Fua.
"Robust Data Association For Online Applications".
In Conference on Computer Vision and Pattern Recognition, Madison, WI, June 2003.
Contact person
vincent.lepetit@epfl.ch
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