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
Affiliations:
National University of Computer and Emerging Sciences, Department of Computer Science, Karachi, Pakistan;TPL Trakker Limited, 39-K, Block-6, P.E.C.H.S., Karachi, Pakistan;Mazik Global Limited, 105/C, 11th Jami Commercial Street, DHA, Karachi, Pakistan;Lowe & Rauf Limited, R-Centre, 159 Bangalore Town, Shahrah-e-Faisal, Karachi 75350, Pakistan
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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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.