dc.contributor.advisor | Rhaman, Md. Khalilur | |
dc.contributor.author | Mitu, Ishrat Jahan | |
dc.contributor.author | Chowdhury, Mohammad Hafiz-Ul-Islam | |
dc.contributor.author | Rahman, Alif | |
dc.contributor.author | Bhuiyan, Sabbir Rahman | |
dc.date.accessioned | 2023-10-15T07:50:10Z | |
dc.date.available | 2023-10-15T07:50:10Z | |
dc.date.copyright | ©2022 | |
dc.date.issued | 2022-09-29 | |
dc.identifier.other | ID 19101087 | |
dc.identifier.other | ID 19101067 | |
dc.identifier.other | ID 19101256 | |
dc.identifier.other | ID 19101012 | |
dc.identifier.uri | http://hdl.handle.net/10361/21818 | |
dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. | en_US |
dc.description | Cataloged from PDF version of thesis. | |
dc.description | Includes bibliographical references (pages 38-39). | |
dc.description.abstract | 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. | en_US |
dc.description.statementofresponsibility | Ishrat Jahan Mitu | |
dc.description.statementofresponsibility | Mohammad Hafiz-Ul-Islam Chowdhury | |
dc.description.statementofresponsibility | Alif Rahman | |
dc.description.statementofresponsibility | Sabbir Rahman Bhuiyan | |
dc.format.extent | 51 pages | |
dc.language.iso | en | en_US |
dc.publisher | Brac University | en_US |
dc.rights | 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. | |
dc.subject | OpenCV | en_US |
dc.subject | VAR | en_US |
dc.subject | Tracking | en_US |
dc.subject.lcsh | Optical data processing | |
dc.subject.lcsh | Engineering mathematics | |
dc.title | Football offside tracking | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, Brac University | |
dc.description.degree | B.Sc. in Computer Science | |