Open AccessArtificial intelligent third umpire runout decision making using image processing
Author(s) -
P. Nirmala Devi,
K. Senthil,
S. Selvavignesh
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1055/1/012095
Subject(s) - computer science , mandate , intersection (aeronautics) , artificial intelligence , operations research , engineering , law , political science , transport engineering
Cricket is the most interesting game watched by the people all over the world. The decisions given by the umpire play a vital role in deciding the game winning situation. As human decisions are prone to error, the need of smart technology intervention is mandate. The advances in image processing and computer vision techniques has now paved the way for making effective and correct decisions on all phases of the game and in automatic scoring. This paper proposes a new approach for detecting the run out using stump detection and from the intersection of the bat and the crease line, named Artificial Intelligent third Umpire (AITU). The accuracy of decision making is improved thereby reducing the third umpire work.