Real-time foul detection in football matches using machine learning techniques

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Մատենագիտական մանրամասներ
Հիմնական հեղինակներ:	Siddiqui, Bishal Sadi, Mridul, Zeeshan Ahmed, Habib, Zaki, Sakib, Ibrahim, Chowdhury, Md. Ahmarul Islam
Այլ հեղինակներ:	Chakrabarty, Amitabha
Ձևաչափ:	Թեզիս
Լեզու:	English
Հրապարակվել է:	Brac University 2024
Խորագրեր:	Real-time foul detection Machine learning Fair game-play Deep learning
Առցանց հասանելիություն:	http://hdl.handle.net/10361/22754

id	10361-22754
record_format	dspace
spelling	10361-227542024-05-07T21:01:16Z Real-time foul detection in football matches using machine learning techniques Siddiqui, Bishal Sadi Mridul, Zeeshan Ahmed Habib, Zaki Sakib, Ibrahim Chowdhury, Md. Ahmarul Islam Chakrabarty, Amitabha Tanvir, Sifat Department of Computer Science and Engineering, Brac University Real-time foul detection Machine learning Fair game-play Machine learning Deep learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024. Cataloged from PDF version of thesis. Includes bibliographical references (pages 54-56). As a widely popular sport worldwide, football necessitates precise and consistent decision-making to uphold fair game-play. It has become essential to automate and optimize certain aspects of the game for fairness and efficiency. Foul detection stands as one of the most challenging and contentious areas where this could be applied. This paper presents an approach for real-time foul detection in football matches using advanced machine-learning techniques. Our research focuses on developing and validating a machine learning-based model that uses video feed data, position coordinates and historical match data to detect fouls in real-time. Faster R-CNN, YOLOv5, YOLOv8 and YOLO-NAS like SOTA machine learning models have been used for this research due to their higher processing speed and accuracy at real time object detection workings. For the detection of foul, machine learning models YOLOv5, YOLOv8, YOLO-NAS and Fast R-CNN have shown an accuracy of about 96%, 97%, 94% and 90% respectively. The potential impact of this system extends beyond football, offering a framework that could be adapted to automate decisionmaking in various sports, thereby ushering in a new era in sports technology. Bishal Sadi Siddiqui Zeeshan Ahmed Mridul Zaki Habib Ibrahim Sakib Md. Ahmarul Islam Chowdhury B.Sc. in Computer Science and Engineering 2024-05-07T05:16:13Z 2024-05-07T05:16:13Z ©2024 2024-01 Thesis ID: 18201096 ID: 19101329 ID: 19201073 ID: 19201083 ID: 21201829 http://hdl.handle.net/10361/22754 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 67 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Real-time foul detection Machine learning Fair game-play Machine learning Deep learning
spellingShingle	Real-time foul detection Machine learning Fair game-play Machine learning Deep learning Siddiqui, Bishal Sadi Mridul, Zeeshan Ahmed Habib, Zaki Sakib, Ibrahim Chowdhury, Md. Ahmarul Islam Real-time foul detection in football matches using machine learning techniques
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.
author2	Chakrabarty, Amitabha
author_facet	Chakrabarty, Amitabha Siddiqui, Bishal Sadi Mridul, Zeeshan Ahmed Habib, Zaki Sakib, Ibrahim Chowdhury, Md. Ahmarul Islam
format	Thesis
author	Siddiqui, Bishal Sadi Mridul, Zeeshan Ahmed Habib, Zaki Sakib, Ibrahim Chowdhury, Md. Ahmarul Islam
author_sort	Siddiqui, Bishal Sadi
title	Real-time foul detection in football matches using machine learning techniques
title_short	Real-time foul detection in football matches using machine learning techniques
title_full	Real-time foul detection in football matches using machine learning techniques
title_fullStr	Real-time foul detection in football matches using machine learning techniques
title_full_unstemmed	Real-time foul detection in football matches using machine learning techniques
title_sort	real-time foul detection in football matches using machine learning techniques
publisher	Brac University
publishDate	2024
url	http://hdl.handle.net/10361/22754
work_keys_str_mv	AT siddiquibishalsadi realtimefouldetectioninfootballmatchesusingmachinelearningtechniques AT mridulzeeshanahmed realtimefouldetectioninfootballmatchesusingmachinelearningtechniques AT habibzaki realtimefouldetectioninfootballmatchesusingmachinelearningtechniques AT sakibibrahim realtimefouldetectioninfootballmatchesusingmachinelearningtechniques AT chowdhurymdahmarulislam realtimefouldetectioninfootballmatchesusingmachinelearningtechniques
_version_	1814307296986005504

Real-time foul detection in football matches using machine learning techniques

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