Application and Effect Evaluation of Information Technology in Physical Education

Authors

  • Huijuan Wang Guangzhou College of Applied Science and Technology, Zhaoqing, 526070, China; Guangdong Provincial Social Science Research Base - Urban and Rural Culture Development Research Center, Zhaoqing, 526070, China
  • Min Zhou Guangzhou College of Applied Science and Technology, Zhaoqing, 526070, China; Guangdong Provincial Social Science Research Base - Urban and Rural Culture Development Research Center, Zhaoqing, 526070, China

DOI:

https://doi.org/10.12694/scpe.v25i6.3368

Keywords:

Sports video, Interactive multimode algorithm, Debiasing measurement Kalman filter, Moving target tracking

Abstract

The Kalman filter and extended Kalman filter algorithm are widely used in physical education video processing, but their performance still needs to be improved for complex backgrounds or high dynamic targets. This paper presents an interactive multi-model algorithm. The displacement detection Kalman filter is used to track moving objects. This method can solve the problem of a single model not being able to match the motion features well. Finally, the simulation experiment of football match video proves that the proposed method can significantly improve the tracking accuracy of moving objects in video.

Downloads

Published

2024-10-01

Issue

Section

Speciai Issue - Deep Learning in Healthcare