Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00138-011-0371-7
Title: 3-D-2-D spatiotemporal registration for sports motion analysis
Authors: Leow, W.K. 
Wang, R.
Leong, H.W. 
Keywords: Belief propagation
Dynamic programming
Human motion analysis
Spatiotemporal registration
Issue Date: 2012
Source: Leow, W.K., Wang, R., Leong, H.W. (2012). 3-D-2-D spatiotemporal registration for sports motion analysis. Machine Vision and Applications 23 (6) : 1177-1194. ScholarBank@NUS Repository. https://doi.org/10.1007/s00138-011-0371-7
Abstract: Computer systems are increasingly being used for sports training. Existing sports training systems either require expensive 3-D motion capture systems or do not provide intelligent analysis of user's sports motion. This paper presents a framework for affordable and intelligent sports training systems for general users. The user is assumed to perform the same type of sport motion as an expert, and therefore the performer's motion is more or less similar to the expert's reference motion. The performer's motion is recorded by a single stationary camera, and the expert's 3-D reference motion is captured only once by a commercial motion capture system. Under such assumptions, sports motion analysis is formulated as a 3-D-2-D spatiotemporal motion registration problem. A novel algorithm is developed to perform spa-tiotemporal registration of the expert's 3-D reference motion and a performer's 2-D input video, thereby computing the deviation of the performer's motion from the expert's motion. The algorithm can effectively handle ambiguous situations in a single video such as depth ambiguity of body parts and partial occlusion. Test results on Taichi and golf swing motion show that, despite using only single video, the algorithm can compute 3-D posture errors that reflect the performer's actual motion error. © Springer-Verlag 2012.
Source Title: Machine Vision and Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/39612
ISSN: 09328092
DOI: 10.1007/s00138-011-0371-7
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

2
checked on Dec 11, 2017

WEB OF SCIENCETM
Citations

2
checked on Dec 11, 2017

Page view(s)

105
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.