Hybrid markerless tracking of complex articulated motion in golf swings
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2014
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my.unimap-333642014-04-28T14:41:39Z Hybrid markerless tracking of complex articulated motion in golf swings Sim, Kwoh Fung Sundaraj, Kenneth, Prof. Dr. Nizam Uddin, Ahamed Lam, Chee Kiang Nadarajah, Sivadev Sahayadhas, Arun Md. Asraf, Ali Md. Anamul, Islam Palaniappan, Rajkumar kenneth@unimap.edu.my ahamed1557@hotmail.com Golf swing Hybrid tracking Markerless tracking Motion tracking Link to publisher's homepage at https://www.elsevier.com/ Sports video tracking is a research topic that has attained increasing attention due to its high commercial potential. A number of sports, including tennis, soccer, gymnastics, running, golf, badminton and cricket have been utilised to display the novel ideas in sports motion tracking. The main challenge associated with this research concerns the extraction of a highly complex articulated motion from a video scene. Our research focuses on the development of a markerless human motion tracking system that tracks the major body parts of an athlete straight from a sports broadcast video. We proposed a hybrid tracking method, which consists of a combination of three algorithms (pyramidal Lucas-Kanade optical flow (LK), normalised correlation-based template matching and background subtraction), to track the golfer's head, body, hands, shoulders, knees and feet during a full swing. We then match, track and map the results onto a 2D articulated human stick model to represent the pose of the golfer over time. Our work was tested using two video broadcasts of a golfer, and we obtained satisfactory results. The current outcomes of this research can play an important role in enhancing the performance of a golfer, provide vital information to sports medicine practitioners by providing technically sound guidance on movements and should assist to diminish the risk of golfing injuries. 2014-04-02T07:21:31Z 2014-04-02T07:21:31Z Apr-2014 Article Journal of Bodywork and Movement Therapies, vol. 18(2), 2014, pages 220-227 1532-9283 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33364 http://www.sciencedirect.com/science/article/pii/S1360859213000788 http://dx.doi.org/10.1016/j.jbmt.2013.05.011 en Elsevier Ltd. |
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Golf swing Hybrid tracking Markerless tracking Motion tracking |
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Golf swing Hybrid tracking Markerless tracking Motion tracking Sim, Kwoh Fung Sundaraj, Kenneth, Prof. Dr. Nizam Uddin, Ahamed Lam, Chee Kiang Nadarajah, Sivadev Sahayadhas, Arun Md. Asraf, Ali Md. Anamul, Islam Palaniappan, Rajkumar Hybrid markerless tracking of complex articulated motion in golf swings |
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Link to publisher's homepage at https://www.elsevier.com/ |
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kenneth@unimap.edu.my |
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kenneth@unimap.edu.my Sim, Kwoh Fung Sundaraj, Kenneth, Prof. Dr. Nizam Uddin, Ahamed Lam, Chee Kiang Nadarajah, Sivadev Sahayadhas, Arun Md. Asraf, Ali Md. Anamul, Islam Palaniappan, Rajkumar |
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Article |
author |
Sim, Kwoh Fung Sundaraj, Kenneth, Prof. Dr. Nizam Uddin, Ahamed Lam, Chee Kiang Nadarajah, Sivadev Sahayadhas, Arun Md. Asraf, Ali Md. Anamul, Islam Palaniappan, Rajkumar |
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Sim, Kwoh Fung |
title |
Hybrid markerless tracking of complex articulated motion in golf swings |
title_short |
Hybrid markerless tracking of complex articulated motion in golf swings |
title_full |
Hybrid markerless tracking of complex articulated motion in golf swings |
title_fullStr |
Hybrid markerless tracking of complex articulated motion in golf swings |
title_full_unstemmed |
Hybrid markerless tracking of complex articulated motion in golf swings |
title_sort |
hybrid markerless tracking of complex articulated motion in golf swings |
publisher |
Elsevier Ltd. |
publishDate |
2014 |
url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/33364 |
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1643797152399360000 |
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13.222552 |