Edge on

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Date
2016
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Publisher
UMT.Lahore
Abstract
Abstract Cricket is a game played across the globe. International Cricket Council (ICC) has defined a set of rules for playing for all the people involved in the game. Despite of presence of rules for the game, incorrect decisions about occurrence of edge with the bat are frequent. Although, there are technologies like “Hotspot” and “Snickometer” aiding the match officials but they have issues in them apart fromvery high cost. In a game of cricket, only one incorrect decision has a greater impact on the overall result of match. The ball is touched with the bat or pad, impact with bat was first or pad and sound was from bat and ball impact or bat and ground etcsometimes becomes hard to determine. We from computing looked into this problem and decided to provide its solution from machine vision. We have used techniques from image processing, computer vision and machine learning to solve this problem at a minimal cost. Our system takes recorded video as input and provides its decision at the same time. All of this activity is feasible during the live transmission of match and the decision can be conveyed to field umpire on the spot.
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