A Method for Predicting the Hitting Trajectory of Table Tennis Robot Based on Image and Video Sequence Analysis
To improve the analysis ability of the hitting trajectory of table tennis robots,a method for predicting the hitting trajec-tory of table tennis robots based on image video sequence analysis is proposed and designed.Firstly,the image video sequence of the hitting trajectory of the table tennis robot is collected,and then the dynamic point tracking fusion of the hitting trajectory of the table tennis robot is performed based on the collected image video sequence to obtain its hitting trajectory.Finally,a frame sampling se-quence reconstruction model of the hitting trajectory of the table tennis robot is constructed,and the structural parameters of the image video sequence are detected through spatial visual information enhancement,The Gradient descent is used to detect the regional pixel points,and the prediction of the robot hitting trajectory is realized according to the pixel tracking results.Tests have shown that the accuracy of using this method for predicting the hitting trajectory of table tennis robots is higher than 98.7％,and the prediction time is less than 11.3 ms,which is superior to the comparison method and improves the dynamic prediction ability of the hitting trajectory.
image video sequencetable tennisrobotsHitting trajectoryforecast
万方数据
维普
