Robust 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

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Color-coded swing trajectories showing the local speed of the club head in terms of different speed ranges.

Relevant Publications

Formation of electron traps in semiconducting polymers via a slow triple-encounter between trap precursor particles

M. Sedghi; C. Vael; W-H. Hu; M. Bauer; D. Padula et al. 

Science And Technology Of Advanced Materials. 2024-12-31. Vol. 25, num. 1, p. 2312148. DOI : 10.1080/14686996.2024.2312148.

Data-driven LPV Disturbance Rejection Control with IQC-based Stability Guarantees for Rate-bounded Scheduling Parameter Variations

E. Klauser; A. Karimi 

2024-12-16. 63rd IEEE Conference on Decision and Control (CDC 2024)Milano Congressi (MiCo), Milan, Italy, December 16-19, 2024.

Fine Arts in Transition: An Operative Research and Teaching Approach between Analogue and Digital

N. Braghieri; F. Fanciotti 

Lausanne: EPFL Press, 2024-09-30.

Validation and Application of Hysteresis Loss Model for HTS Stacks and Conductors for Fusion Applications

A. Zappatore; N. Bykovskiy; G. De Marzi 

Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 4704105. DOI : 10.1109/TASC.2024.3369584.

Performance Comparison of Cables With Partial Transposition

C. Frittitta; P. Bruzzone; H. Bajas; F. Dematte; K. Sedlak 

Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 4803205. DOI : 10.1109/TASC.2024.3367804.

Quench Detection and Temperature Measurement With Fiber Optic Sensors

H. Bajas; D. Uglietti; C. Muller; K. Sedlak 

Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 9001005. DOI : 10.1109/TASC.2023.3346855.

Design of a Beam Separator for FLASH Electron Therapy Facilities

V. Korchevnyuk; J. Bauche; M. Karppinen; A. Latina; S. Russenschuck et al. 

Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 4401005. DOI : 10.1109/TASC.2023.3341895.

Flow and Snow in Complex Terrain

M. Lehning 

International Union of Geodesy and Geophysics (IUGG), Berlin, Germany, July 12-16, 2023.

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

M. Eyuboglu; N. R. Powell; A. Karimi 

2024-07-12

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

M. O. A. Abdelfattah; M. Hassan; A. Alahi 

2024-06-17. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, June 17-21, 2024.

Formation of electron traps in semiconducting polymers via a slow triple-encounter between trap precursor particles

M. Sedghi; C. Vael; W-H. Hu; M. Bauer; D. Padula et al. 

Science And Technology Of Advanced Materials. 2024-12-31. Vol. 25, num. 1, p. 2312148. DOI : 10.1080/14686996.2024.2312148.

Data-driven LPV Disturbance Rejection Control with IQC-based Stability Guarantees for Rate-bounded Scheduling Parameter Variations

E. Klauser; A. Karimi 

2024-12-16. 63rd IEEE Conference on Decision and Control (CDC 2024)Milano Congressi (MiCo), Milan, Italy, December 16-19, 2024.

Fine Arts in Transition: An Operative Research and Teaching Approach between Analogue and Digital

N. Braghieri; F. Fanciotti 

Lausanne: EPFL Press, 2024-09-30.

Validation and Application of Hysteresis Loss Model for HTS Stacks and Conductors for Fusion Applications

A. Zappatore; N. Bykovskiy; G. De Marzi 

Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 4704105. DOI : 10.1109/TASC.2024.3369584.

Performance Comparison of Cables With Partial Transposition

C. Frittitta; P. Bruzzone; H. Bajas; F. Dematte; K. Sedlak 

Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 4803205. DOI : 10.1109/TASC.2024.3367804.

Quench Detection and Temperature Measurement With Fiber Optic Sensors

H. Bajas; D. Uglietti; C. Muller; K. Sedlak 

Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 9001005. DOI : 10.1109/TASC.2023.3346855.

Design of a Beam Separator for FLASH Electron Therapy Facilities

V. Korchevnyuk; J. Bauche; M. Karppinen; A. Latina; S. Russenschuck et al. 

Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 4401005. DOI : 10.1109/TASC.2023.3341895.

Flow and Snow in Complex Terrain

M. Lehning 

International Union of Geodesy and Geophysics (IUGG), Berlin, Germany, July 12-16, 2023.

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

M. Eyuboglu; N. R. Powell; A. Karimi 

2024-07-12

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

M. O. A. Abdelfattah; M. Hassan; A. Alahi 

2024-06-17. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, June 17-21, 2024.

Contacts

Vincent Lepetit [email]