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https://hdl.handle.net/2142/100035
Description
Title
Analytic system for measuring bat speed
Author(s)
Tan, Reuben
Contributor(s)
Hoiem, Derek
Issue Date
2018-05
Keyword(s)
Computer Vision
Automated Detection
Tracking
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.
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