Title: Motion video evaluation and 3D human motion simulation in image processing oriented sports training

Authors: Dandan Fan; Xiaodan Yang

Addresses: Sports Department, Haojing College of Shaanxi University of Science and Technology, Xi'an 712046, Shaanxi, China ' Sports Department, Haojing College of Shaanxi University of Science and Technology, Xi'an 712046, Shaanxi, China

Abstract: In this paper, image processing technology was used to analyse sports video in sports training, and 3D human motion simulation was carried out. In this paper, firstly, image processing of sports training video was carried out, including image transformation, greyscale transformation and image filtering. After that, the research of moving object detection was carried out, and the detection methods included inter frame difference method and background difference method. The common human models were introduced. Next, a 3D human motion model was constructed, and 3D human knowledge was recognised. In the experiment part, the video of running, walking, rope skipping and sit ups were analysed and simulated. It can help athletes better analyse the mistakes in the sports process, and improve the athletes' sports efficiency, so as to maximise the athletes' sports ability.

Keywords: 3D human motion simulation; motion video analysis; physical training; image processing; electronic imaging.

DOI: 10.1504/IJCSYSE.2026.151346

International Journal of Computational Systems Engineering, 2026 Vol.10 No.1/2/3/4, pp.167 - 173

Received: 28 Oct 2023
Accepted: 30 Nov 2023
Published online: 26 Jan 2026 *

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