Football offside tracking
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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Brac University
2023
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| Online toegang: | http://hdl.handle.net/10361/21818 |
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10361-218182023-10-15T21:07:35Z Football offside tracking Mitu, Ishrat Jahan Chowdhury, Mohammad Hafiz-Ul-Islam Rahman, Alif Bhuiyan, Sabbir Rahman Rhaman, Md. Khalilur Department of Computer Science and Engineering, Brac University OpenCV VAR Tracking Optical data processing Engineering mathematics This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 38-39). cutting-edge technology to help referees make accurate calls. Modern football tries to use VAR (Video Assistant Referee) technology to correct wrong calls like offside, but this is being delayed because the equipment can’t make decisions in real time. The researchers consequently chose to base their determination of offside on tracking. The researchers employed a few algorithms and detection techniques to carry out this tracking. In this paper, we suggest a brand-new real-time offside tracking system using footage from actual football games.. The advantage of our system is that it will check offside and if an offside is found in real-time in the game it will send a notification to the referee’s smartwatch. Moreover, no one needs to worry about VAR decisions and waste a match’s crucial time. In order to keep the game flowing smoothly, our system will be able to deliver real-time offside judgments. The referee’s decisions on violations of the offside rule have a significant impact on the outcomes of football games. The outcome of a football game should be decided by the players, not the officials. Technology should be utilized throughout the game to improve the accuracy of the offside call, not to detract from the ability of the officials. A suggested system uses player monitoring technologies to quantify player positions and an algorithm to spot players who are offside. The likelihood of algorithm mistakes is influenced by the player tracking system’s accuracy. One main aspect of our system is to help the referee to make a call by utilizing all the detection, and data that are needed to make the “offside” call. The referee will always make the decisions and our program is going to assist it. Ishrat Jahan Mitu Mohammad Hafiz-Ul-Islam Chowdhury Alif Rahman Sabbir Rahman Bhuiyan B.Sc. in Computer Science 2023-10-15T07:50:10Z 2023-10-15T07:50:10Z ©2022 2022-09-29 Thesis ID 19101087 ID 19101067 ID 19101256 ID 19101012 http://hdl.handle.net/10361/21818 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. 51 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
OpenCV VAR Tracking Optical data processing Engineering mathematics |
| spellingShingle |
OpenCV VAR Tracking Optical data processing Engineering mathematics Mitu, Ishrat Jahan Chowdhury, Mohammad Hafiz-Ul-Islam Rahman, Alif Bhuiyan, Sabbir Rahman Football offside tracking |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
| author2 |
Rhaman, Md. Khalilur |
| author_facet |
Rhaman, Md. Khalilur Mitu, Ishrat Jahan Chowdhury, Mohammad Hafiz-Ul-Islam Rahman, Alif Bhuiyan, Sabbir Rahman |
| format |
Thesis |
| author |
Mitu, Ishrat Jahan Chowdhury, Mohammad Hafiz-Ul-Islam Rahman, Alif Bhuiyan, Sabbir Rahman |
| author_sort |
Mitu, Ishrat Jahan |
| title |
Football offside tracking |
| title_short |
Football offside tracking |
| title_full |
Football offside tracking |
| title_fullStr |
Football offside tracking |
| title_full_unstemmed |
Football offside tracking |
| title_sort |
football offside tracking |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/21818 |
| work_keys_str_mv |
AT mituishratjahan footballoffsidetracking AT chowdhurymohammadhafizulislam footballoffsidetracking AT rahmanalif footballoffsidetracking AT bhuiyansabbirrahman footballoffsidetracking |
| _version_ |
1814308840885190656 |