Abstract

Computer systems are increasingly being used for sports training. 
Existing sports training systems either require expensive 3D 
motion capture systems or do not provide intelligent analysis of 
user's sports motion. This talk presents a framework for affordable 
and intelligent sports training systems for general users that 
requires only single camera to record the user's motion. Sports
motion analysis is formulated as a 3D-2D spatiotemporal motion 
registration problem. A novel algorithm is  developed
to perform spatiotemporal registration of the expert's 3D reference 
motion with a performer's 2D 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 show that, despite using only a single camera, the 
algorithm can compute 3D posture errors that reflect the 
performer's actual motion error.

Speaker's Biodata

Dr. Leow Wee Kheng obtained his B.Sc. and M.Sc. in Computer Science 
from National University of Singapore in 1985 and 1989 
respectively. 

He pursued Ph.D. study at The University of Texas at Austin and 
obtained his Ph.D. in Computer Science in 1994. His curent research
interests include computer vision, medical image analysis, and 
protein docking. He has published more than 80 technical papers in 
journals, conferences, and books. He has also been awarded two U.S.
patents and has published another patent under PCT.

He has served in the Program Committees and Organizing Committees 
of various conferences. He has collaborated widely with a large 
number of local and overseas institutions. His current local 
collaborators include I2R of A*STAR, Singapore General Hospital, 
National University Hospital, and National Skin Centre, and 
overseas collaborators include CNRS in France and National Taiwan
University and National Taiwan University Hospital.