Earticle

초록

영어

Tracking a golf ball to visualize its trajectory had previously been done with complex and expensive systems. Those systems are not in the reach of every people. Here we suggest a more straightforward approach for the same purpose but utilizing only golf shots videos. The proposed system uses image processing and a deep neural network model, YOLO (You Only Live Once) V3. To achieve the goal of tracking the golf ball, the YOLO V3 network and Hough transform localize the ball’s initial position and the frame differencing technique tracks the golf ball. Upon implementation of the method to multiple videos, an acceptable result was obtained.

목차

Abstract
1. Introduction
2. Related Works
3. Methods
4. Experiments
4.1. Experimental result
5. Conclusions
Acknowledgement
References

키워드

저자

• Ranjai Baidya [ Dept. of Nano Science and Technology Gachon University Gyeonggi-do, South Korea ]
• Hyun-Cheol Park [ Dept. of IT Convergence Engineering Gachon University Gyeonggi-do, South Korea ]
• Zineb Tissir [ Dept. of Nano Science and Technology Gachon University Gyeonggi-do, South Korea ]
• Sang-Woong Lee [ Department of Software Gachon University Gyeonggi-do,South Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004