Computing Run-out Decisions Using Object Detection and Support Vector Machine Algorithm

Mihir Maulik Palkhiwala, Dev Punitkumar Mehta
{"title":"Computing Run-out Decisions Using Object Detection and Support Vector Machine Algorithm","authors":"Mihir Maulik Palkhiwala,&nbsp;Dev Punitkumar Mehta","doi":"10.1007/s41133-022-00058-6","DOIUrl":null,"url":null,"abstract":"<div><p>In the game of cricket, there are various kinds of dismissals that can be caused due to multiple reasons. Few of them include the bowler’s brilliance and the batsman’s mistake. Run-out being one kind of dismissal, that completely changes the fortune and momentum of teams. Most of the time, it becomes difficult for the on-field umpire to give a judgement on run-out with naked eyes. So, the decisions are transferred to the third umpire, who gives the final decision based on a time-consuming technique. Therefore, we are proposing an approach, in which dismissal prediction is made using object detection and support vector machine. As the dismissal prediction is made based on images from different angles from various cameras, we were successful in achieving an accuracy rate of 87%. Additionally, since it works on an automated process, it is much more time-efficient than the traditional system. Thus by using this approach, errors are minimized and machine learning capabilities are provided to decision making in the game of cricket.\n</p></div>","PeriodicalId":100147,"journal":{"name":"Augmented Human Research","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Augmented Human Research","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s41133-022-00058-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In the game of cricket, there are various kinds of dismissals that can be caused due to multiple reasons. Few of them include the bowler’s brilliance and the batsman’s mistake. Run-out being one kind of dismissal, that completely changes the fortune and momentum of teams. Most of the time, it becomes difficult for the on-field umpire to give a judgement on run-out with naked eyes. So, the decisions are transferred to the third umpire, who gives the final decision based on a time-consuming technique. Therefore, we are proposing an approach, in which dismissal prediction is made using object detection and support vector machine. As the dismissal prediction is made based on images from different angles from various cameras, we were successful in achieving an accuracy rate of 87%. Additionally, since it works on an automated process, it is much more time-efficient than the traditional system. Thus by using this approach, errors are minimized and machine learning capabilities are provided to decision making in the game of cricket.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用目标检测和支持向量机算法计算运行决策
在板球比赛中,由于多种原因可能会导致各种各样的解雇。其中很少有投球手的精彩和击球手的失误。出局是一种解雇,它完全改变了球队的命运和势头。大多数时候,场上裁判很难用肉眼对跑动做出判断。因此,决定权移交给第三名裁判,由他根据耗时的技术做出最终决定。因此,我们提出了一种方法,其中使用对象检测和支持向量机进行解雇预测。由于解雇预测是基于来自各种相机的不同角度的图像进行的,我们成功地实现了87%的准确率。此外,由于它在自动化过程中工作,因此它比传统系统更节省时间。因此,通过使用这种方法,误差被最小化,并且机器学习能力被提供给板球比赛中的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Haptic Gamer Suit for Enhancing VR Games Experience Retraction Note: Application on Virtual Reality for Enhanced Education Learning, Military Training and Sports The Impact of Transferring Embodiment and Work Efficiency Between Natural Body and Modular Body Systems Smart Life Saver Jacket: A New Jacket to Support CPR Operation Unraveling the Ethical Conundrum of Artificial Intelligence: A Synthesis of Literature and Case Studies
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1