Type of Publication

Journal Articles

Date:

8 /

2013

Status

Published

DOI:

10.1007/s10044-012-0276-8

A Methodology for Detection and Estimation in the Analysis of the Golf Putting

Featured in:

Pattern Analysis and Applications, springer

Authors:

Micael S. Couceiro, David Portugal, Nuno Gonçalves, Rui Rocha, J. Miguel A. Luz, Carlos M. Figueiredo and Gonçalo Dias

Abstract

This paper presents a methodology for visual detection and parameter estimation to analyze the effects of the variability in the performance of golf putting. A digital camera was used in each trial to track the putt gesture. The detection of the horizontal position of the golf club was performed using a computer vision technique, followed by an estimation algorithm divided in two different stages. On a first stage, diverse nonlinear estimation techniques were used and evaluated to extract a sinusoidal model of each trial. Secondly, several expert golf player trials were analyzed and, based on the results of the first stage, the Darwinian particle swarm optimization (DPSO) technique was employed to obtain a complete kinematical analysis and a characterization of each player’s putting technique. In this work, it is intended not only to test the performance of the DPSO method, but also to present a novel study in this field by identifying a putting “signature” of each player.

Citation
Micael S. Couceiro, David Portugal, Nuno Gonçalves, Rui Rocha, J. Miguel A. Luz, Carlos M. Figueiredo and Gonçalo Dias (2013). A methodology for detection and estimation in the analysis of golf putting. Pattern Analysis and Applications, 16, 459-474. DOI: 10.1007/s10044-012-0276-8

Related Content

Researcher Coordinator, VIS TEAM Leader
No tagged content to show
No tagged content to show
No tagged content to show

RECENT PUBLICATIONS

MorFacing: A Benchmark for Estimation Face Recognition Robustness to Face Morphing Attacks

Authors: Iurii Medvedev and Nuno Gonçalves
Featured in: IEEE International Joint Conference on Biometrics (IJCB 2024)

Face Liveness Detection Competition (LivDet-Face)

Authors: Lambert Igene, Afzal Hossain, Stephanie Schuckers, Mohammad Zahir Uddin Chowdhury, Humaira Rezaie, Ayden Rollins, Jesse Dykes, Rahul Vijaykumar, Sebastien Marcel, Juan Tapia, Carlos Aravena, Daniel Schulz, Nima Karimian and Anafsheh Adami, Diogo Nunes, João Marcos, Nuno Gonçalves, Lovro Sikošek, Borut Batagelj, Nima Schei, David Pabon, Manuela Tiedemann, Vasiliy Pryadchenko, Aleksandr Alenin, Alhasan Alkhaddour, Anton Pimenov, Artem Tregubov, Igor Avdonin, Maxim Lazantsev and Mikhail Pozigun
Featured in: IEEE International Joint Conference on Biometrics Competitions, 2024

Social NSTransformers: Low-Quality Pedestrian Trajectory Prediction

Authors: Zihan Jiang, Yiqun Ma, Bingyu Shi, Xin Lu, Jian Xing, Nuno Gonçalves and Bo Jin
Featured in: IEEE Transactions on Artificial Intelligence

suggested news

Laser engraving of precious metal artifacts (UniqueMark® deterministic...
UniqueMark® and UniQode® Glitter patent published
Paper about protecting facial recognition systems against morphing...

RECENT PROJECTS

FACING2 – Face Image Understanding
VISUAL-ID – Unique Visual Identities in Graphics, Images and Faces
UniqueMark

Institute of Systems and Robotics Department of Electrical and Computers Engineering University of Coimbra