VAR-YOLOv8s: IoT-based automatic foul detection in soccer matches

IF 6.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

alexandria engineering journal Pub Date : 2024-10-29 DOI:10.1016/j.aej.2024.10.031

Yuan Shao , Zaihong He

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引用次数: 0

Abstract

The application of Internet of Things (IoT) technology and its ongoing evolution have drawn a lot of interest to the field of intelligent sports referee system research. In this article, we present a novel VAR-YOLOv8 model that significantly improves the accuracy and robustness of error detection in football matches by combining MPDIoU, a residual local feature network (RLFN), and a video assistant referee system “VARS” module. Experimental results show how well the model can handle dense gates and rapidly changing parameters. It also does a good job of recognizing and classifying different types of faults in difficult situations. The concept uses Internet of Things (IoT) technology to enable real-time data collection and processing, providing strong technical support for smart sports refereeing systems, significant practical application value and many advancement opportunities. Through testing utilizing the SoccerNet dataset, the VAR-YOLOv8s demonstrate accomplished an normal [email protected] of 80.5 and [email protected] of 31.0 amid the testing handle. To move forward the insights and productivity of shrewd arbitrage frameworks, future investigate will center on optimizing show execution and exploring unused information enlargement and combination procedures.

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VAR-YOLOv8s：基于物联网的足球比赛犯规自动检测系统

物联网（IoT）技术的应用及其不断发展，引起了人们对智能体育裁判系统研究领域的浓厚兴趣。在本文中，我们介绍了一种新型 VAR-YOLOv8 模型，该模型通过结合 MPDIoU、残差局部特征网络（RLFN）和视频助理裁判系统 "VARS "模块，显著提高了足球比赛中错误检测的准确性和鲁棒性。实验结果表明，该模型能很好地处理密集的门和快速变化的参数。在困难情况下，它还能很好地识别和分类不同类型的故障。该概念利用物联网（IoT）技术实现了数据的实时采集和处理，为智能体育裁判系统提供了强有力的技术支持，具有重要的实际应用价值和诸多进步机会。通过使用SoccerNet数据集进行测试，VAR-YOLOv8s在测试过程中的正常[email protected]为80.5，[email protected]为31.0。为了提高精明套利框架的洞察力和生产力，未来的研究将集中于优化演示执行和探索未使用的信息放大和组合程序。

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来源期刊

alexandria engineering journal Engineering-General Engineering

CiteScore

11.20

自引率

4.40%

发文量

1015

审稿时长

43 days

期刊介绍： Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification: • Mechanical, Production, Marine and Textile Engineering • Electrical Engineering, Computer Science and Nuclear Engineering • Civil and Architecture Engineering • Chemical Engineering and Applied Sciences • Environmental Engineering