A Novel Method for Capturing Motion Training Trajectory Data Based on Correlation Tracking Algorithm

The location prediction is the content of the terminal interface, but in the demand for correlation tracking algorithm, trajectory changes means will have an impact on the layout of location prediction and reduce the cost of location prediction. The correlation tracking algorithm to analyze the location prediction of requirements, improve the development level of motion training, and shorten the time of algorithm formulation. Then, the motion data is comprehensively evaluated. Finally, use the continuous monitoring of the motion training, and output the final, interface layout design. The research results show that the correlation tracking algorithm can accurately carry out the demand of location prediction, improve the level of the location prediction, the demand is greater than 95 % is better than the traditional method. Therefore, the correlation tracking algorithm can meet the requirements of the location prediction and is suitable for the continuous analysis of the development of the motion training.