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논문검색

Poster Session Ⅳ

골프공 궤적 추적을 위한 영상처리 기반의 자동화 시스템

원문정보

An Automated System-based on Image Processing and Deep Learning to Track The Trajectory of a Golf Ball

Ranjai Baidya, Hyun-Cheol Park, Zineb Tissir, Sang-Woong Lee

피인용수 : 0(자료제공 : 네이버학술정보)

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

저자정보

  • 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

참고문헌

자료제공 : 네이버학술정보

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