Review on Video Refereeing using Computer Vision in Football

2018 IEEE Punecon Pub Date : 2018-11-01 DOI:10.1109/PUNECON.2018.8745418

Arik Badami, Mazen Kazi, Sajal Bansal, Krishna Samdani

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Abstract

Football is, without a doubt, one of the biggest and most popular sports in the world with an estimated fanbase of 3.5 million individuals. England’s "Premier League" has 20 teams and each of these teams earn roughly 40 million a year just through tv broadcast sales. Add to that jersey sales, tickets and sponsorship money, one slowly begins to understand just how popular this sport is. However, it is not immune to controversy and one of the biggest problem plaguing the sport is the referral system which is inconsistent and prone to mistakes. This paper presents a system to perform the job of refereeing in the sport of football by taking an input of the live video file and using computer vision and image processing to understand what is happening. Computer Vision is the science aiming at automating the process of information extraction, analysis and understanding information from a sequence of images. It works at providing the capability of vision to a computer. The system makes decisions such as goal, foul or offside. It then conveys this message to the on field official. It does so by tracking the players and the ball and analyzing their position at every instant.

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计算机视觉在足球视频裁判中的应用综述

毫无疑问，足球是世界上规模最大、最受欢迎的运动之一，大约有350万球迷。英格兰的“超级联赛”有20支球队，每支球队每年仅通过电视转播收入就能赚到大约4000万美元。再加上球衣销售、门票和赞助收入，人们慢慢开始明白这项运动有多受欢迎。然而，它也不能幸免于争议，而困扰这项运动的最大问题之一是不一致且容易出错的转诊系统。本文介绍了一个在足球运动中执行裁判工作的系统，该系统通过输入实时视频文件并使用计算机视觉和图像处理来了解正在发生的事情。计算机视觉是一门旨在从一系列图像中自动提取、分析和理解信息的科学。它的工作是为计算机提供视觉能力。系统会做出进球、犯规或越位等判罚。然后它把这个信息传递给现场的官员。它通过跟踪球员和球，并在每一个瞬间分析他们的位置来做到这一点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 IEEE Punecon

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