Title :
A fast matching algorithm for athletic joints of the shell rowing
Author :
Kang, Hua-Guang ; Du, Wen-Yang
Author_Institution :
Department of Automatic control Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
The motion quality of the shell rowing athletes has a heavy effect on the competitive scores. According to the features of the sequential images of the shell rowing, a fast matching algorithm for automatic tracking the athletic joints is realized. This approach is on the basis of the linear model proposed by Saul Moskowitz and the Sequential Similar Detective Algorithm (SSDA) proposed by Barnea and Silivernman. The Walsh function system is used in this paper. Some useful experiment results are obtained.
Keywords :
Analytical models; Biological system modeling; Computational modeling; Feature extraction; Image recognition; Pixel; Predictive models;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris, France
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5762115
