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A-Eye: Automating the role of the third umpire in the game of cricket
Authors:Tariq Mahmood  Syed Obaid Ahmed  Syed Hassan Nayyer  Muhammad Hadi Swaleh
Affiliation:1. National University of Computer and Emerging Sciences, Department of Computer Science, Karachi, Pakistan;2. TPL Trakker Limited, 39-K, Block-6, P.E.C.H.S., Karachi, Pakistan;3. Mazik Global Limited, 105/C, 11th Jami Commercial Street, DHA, Karachi, Pakistan;4. Lowe & Rauf Limited, R-Centre, 159 Bangalore Town, Shahrah-e-Faisal, Karachi 75350, Pakistan;1. Department of Neurosurgery, Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan;2. Department of Neurosurgery, Osaka City General Hospital, 2-13-22 Miyakojima-hondori, Miyakojima-ku, Osaka 531-0021, Japan;1. US Pacific Basin Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Hilo, HI 96720, USA;2. Polytechnic Institute of New York University, Brooklyn, NY 11201, USA;3. University of Bamako, Malaria Research and Training Center, Unit of Molecular Ecology, Bamako, Mali;4. Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, Bethesda, MD 20892, USA;5. Department of Aerospace Engineering and Institute for Systems Research, University of Maryland, College Park, MD 20742, USA;1. College of Earth and Environmental Sciences, University of the Punjab, Lahore, Pakistan;2. Department of Allied Health Sciences and Chemical Pathology, University of Health Sciences (UHS), Lahore, Pakistan;3. Shaikh Zayed Hospital, Federal Postgraduate Medical Institute, Lahore, Pakistan;1. School of Computing, National University of Computer and Emerging Sciences, Islamabad, Pakistan;2. Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia;1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China;2. School of Computer Science, Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, China
Abstract:Cricket is a sport that involves two teams, say Team A and Team B, and two field umpires. Initially, Team A bats to score some runs, while Team B balls. Then, Team A balls and Team B bats to overcome the score of Team A. If this happens, then Team B wins. Otherwise, Team A wins. The balling team can dismiss a batsman from scoring through a Run-Out, i.e., the batsman fails to enter an area before three stumps are dislodged in that area. In this case, a third umpire makes the ‘Run-Out/Not-Out’ decision through video technology. This process can consume around one minute which disrupts the pace of the game. In this paper, we propose and validate a novel technology called A-Eye, which automates the role of the third umpire. By applying A-Eye to a set of autonomously-filmed Run-Out videos, we show that it is efficient as compared to the third umpire, and almost as accurate. Also, it can be used to estimate a rating for the field umpires. These results have been recognized internationally, and have convinced our local cricket council to employ A-Eye within a professional cricket tournament.
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