이미지 프로세싱 기반 탁구공 자동추적 프로그램 개발
Development of an image processing-based ball tracking program for table tennis
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[목적] 본 연구의 목적은 탁구 전술 수립을 위한 정보를 신속하기 획득하기 위해 이미지 프로세싱 기술을 활용하여 탁구공의 이동궤적을 추적할 수 있는 알고리즘과 소프트웨어를 개발하는데 있다. [방법] 컴퓨터 비전 분야에서 사용하고 있는 알고리즘을 탁구 동호인 2경기와 국제대회 2경기에 적용하고 보완하였다. 개발한 소프트웨어를 통해 자동으로 획득한 구역별 탁구공 바운스 빈도와 수기로 획득한 빈도를 비교하는 신뢰도 분석을 수행하였다. [결과] 동호인 2경기의 평균 신뢰도는 85.1±3.69%, 합계 오류 14.9±3.69%로 나타났고 과대추정 오류 52.2±9.78%, 과소추정 오류 47.8±9.78%이다. 국제대회 2경기의 평균 신뢰도는 71.8±0.87%, 합계 오류 28.2±0.87%, 과대추정 오류 82.0±8.03%, 과소추정 오류 19.2±7.75%이다. [결론] 본 연구에서 개발한 알고리즘과 소프트웨어의 목표 신뢰도는 80%로 동호인 경기에서만 달성하였지만 국제대회 경기의 경우 대체적으로 과대추정 오류가 높아 추후 개선할 수 있는 가능성을 보여줬다.
Abstract
[Purpose] The purpose of this study was to develop algorithms and software that can track the trajectory of table tennis balls using image-processing algorithms to obtain information quickly for under and establish tactics used in table tennis. [Methods] The algorithms used in the field of computer vision were applied on two matches played by novice and two matches during international competitions by elite athletes. Reliability analysis was performed by comparing the table tennis ball bounce frequency in each zone obtained through the automatic method and the manual method. [Results] The mean reliability of the two novice games was only 85.1 ± 3.69%, total error was 14.9 ± 3.69%, overestimation error was 52.2 ± 9.78%, and underestimation error was 47.8 ± 9.78%. While the mean reliability of the two international tournaments was 71.8 ± 0.87%, the total error was 28.2 ± 0.87%, overestimation error was 82.0 ± 8.03%, and underestimation error was 19.2 ± 7.75%. [Conclusion] Although the target reliability of algorithms and software developed in this study was achieved only in novice competitions with 80%, the over-estimation errors were generally high in international competitions, showing the potential for further improvement.
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