원근 그리드를 활용한 야구 수비 반경 산출 기법 구현

초록

Purpose: This aims to investigate distance by defensive position of college baseball players and their fielding average depending on the ball speed by using a perspective grid technique. Method: The study utilized aerial work platforms in order to include a wide radius of their defenses into a camera angle and used two types of cameras such as SONY HDR 520 and SONY FX-1. Also, it used SRA3000 radar gun to measure the ball speed and Kinovea for an image analysis. Also, Excel 2016 and SPSS 25 were used to handle and analyze data, and Python 3.7 was for the visualization of data. To define distance by defensive position of college baseball players and fielding average depending on the ball speed, a logistics regression analysis was conducted. Results: As a result, first of all, there was a collection of totals of 633 databases on defensive success and failure depending on the ball speed and distance by defensive position of college baseball players by using a perspective grid technique. Second, the study found that the distance and ball speed significantly affected the fielding average of an infielder. Also, it visualized the fielding average by the distance and ball speed through a logistics recession analysis. Third, the distance had a significant effect on the fielding average of an outfielder. Furthermore, it visualized the fielding average by the distance through the logistics recession analysis. Conclusion: There is a further significance on this study because it defined a radius of players’ defenses only using a 2D image and perspective grid technique without high-priced tracking equipment. It is considered that this will be possibly introduced to other categories in the future.

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