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Title:Analytic system for measuring bat speed
Author(s):Tan, Reuben
Contributor(s):Hoiem, Derek
Subject(s):Computer Vision
Automated Detection
Optical Flow
Abstract:Recent advancements in computer vision have provided us with increased capabilities in the field of sport analytics. Action recognition and quality assessment are some of the areas that have benefitted from computer vision techniques. Reliable methods have been developed to provide coaches and players with information in making decisions during gameplay and improving the techniques of players. In basketball, we have systems that display a heat map of every single player on the court as well as the player's best position in a lineup. Computer vision is also being applied to football games to track the top speed of players and their positional changes. In this paper, we address the sport of baseball where we seek to apply computer vision techniques to measure the speed and trajectory of the bat via automated tracking and optical flow algorithms.
Issue Date:2018-05
Date Available in IDEALS:2018-05-24

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