Evaluation and Simulation of Sports Balance Training and Testing Equipment Based on Medical Video Image Analysis

Aiming at the shortcomings of video analysis system in the current process of balance force training, a new video analysis system for balance force training is proposed to analyze the test effect of balance force training. This paper evaluates and tests the function and utility of balance testing equipment by using the methods of sports training, sports biomechanics, mechanical design, sensors, video image analysis and computer-related research, combined with the latest research results of physical training at home and abroad. Firstly, several representative algorithms are selected in the frame difference method and background difference method. Then, these methods are tested according to the typical scene conditions, and the experimental results are used to compare and analyze the algorithms qualitatively and quantitatively, and the paper proposes the moving object detection and tracking based on GVF-Snake image model. The experimental results show that our proposed model has good detection effect compared with the background difference method based on Vibe algorithm, codebook model, Mixed Gauss model, adaptive Mixed Gauss model, median filter and adaptive background modeling. The system can accurately analyze the video and image information of sports training. The accuracy of key frame extraction is high, and the recall rate is high. It can be used to guide and evaluate balance force training. And the final evaluation results show the effectiveness of video image algorithm.