Research on the Positioning Technology of Sports 3D Teaching Action Based on Machine Vision

Abstract This paper presents a method of action location in three-dimensional motion teaching. The machine vision technology is used to solve the problems low positioning accuracy and long time traditional teaching method. work this as follows: (a) using determine world coordinate system image; (b) MRF algorithm extract features 3D (c) determining spatial correlation data. In image, smooth filtering suppress eliminate noise. Then convolution neural network (CNN) reconstruct image. entropy behavior physical education determined by CNN. Through large number computer simulations, effectiveness proposed confirmed. results show that achieves 95% when 1.9 s.