VAR-YOLOv8s: IoT-based automatic foul detection in soccer matches
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...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824011876 |
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| _version_ | 1841524904859533312 |
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| author | Yuan Shao Zaihong He |
| author_facet | Yuan Shao Zaihong He |
| author_sort | Yuan Shao |
| collection | DOAJ |
| description | 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 IoU@0.5 of 80.5 and mAP@0.5 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. |
| format | Article |
| id | doaj-art-86aab307493d414f914af102587203ff |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-86aab307493d414f914af102587203ff2025-01-18T05:03:35ZengElsevierAlexandria Engineering Journal1110-01682025-01-01111555565VAR-YOLOv8s: IoT-based automatic foul detection in soccer matchesYuan Shao0Zaihong He1School of Computer and Electrical Engineering, Hunan University of Science and Arts, ChangDe, 415000, ChinaCollege of Computer Science and Electronic Engineering, Hunan University, Chang Sha, 410082, China; Corresponding author.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 IoU@0.5 of 80.5 and mAP@0.5 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.http://www.sciencedirect.com/science/article/pii/S1110016824011876Internet of things (IoT)Soccer matchFoul detectionVAR-YOLOv8sVARS module |
| spellingShingle | Yuan Shao Zaihong He VAR-YOLOv8s: IoT-based automatic foul detection in soccer matches Alexandria Engineering Journal Internet of things (IoT) Soccer match Foul detection VAR-YOLOv8s VARS module |
| title | VAR-YOLOv8s: IoT-based automatic foul detection in soccer matches |
| title_full | VAR-YOLOv8s: IoT-based automatic foul detection in soccer matches |
| title_fullStr | VAR-YOLOv8s: IoT-based automatic foul detection in soccer matches |
| title_full_unstemmed | VAR-YOLOv8s: IoT-based automatic foul detection in soccer matches |
| title_short | VAR-YOLOv8s: IoT-based automatic foul detection in soccer matches |
| title_sort | var yolov8s iot based automatic foul detection in soccer matches |
| topic | Internet of things (IoT) Soccer match Foul detection VAR-YOLOv8s VARS module |
| url | http://www.sciencedirect.com/science/article/pii/S1110016824011876 |
| work_keys_str_mv | AT yuanshao varyolov8siotbasedautomaticfouldetectioninsoccermatches AT zaihonghe varyolov8siotbasedautomaticfouldetectioninsoccermatches |