Table Tennis Decision System Based on Double Channel Object Moving Detection
Guo Ha · Journal of Guangzhou Sport University · 2014
Action is the key technology in sports and we must standardize athlete's action. If we expect they get highest level or comeclose to it,and at the same time had avoided the accumulation of sports injury of athletes,the scientific method is needed. This paper proposesa dual channel target motion detection algorithm,combines with the motion detection technology and human behavior understanding method to judge the movement results by quantitative analysis and physical action sports movement pattern recognition. The table tennis has the fast changeable characteristics,and the table tennis racket and athlete's wrist action have high correlation. So we can establish the discrete wavelet transform of the space- time model for cancelling the noise cave. Through the qualitative analysis and the experimental results,the double channel hybrid algorithm for table tennis decision system can better identify the wrong operation of the table tennis,and provides a scientific and effective basis for timely corrective action.