KCC 2021
Current Result Document :
| 한글제목(Korean Title) |
TrackNet-V2를 사용한 골프 공 추적 |
| 영문제목(English Title) |
Tracking of Golf Ball using TrackNetV2 |
| 저자(Author) |
바이디아 런자이
이상웅
Ranjai Baidya
Sang-Woong Lee
|
| 원문수록처(Citation) |
VOL 48 NO. 01 PP. 0659 ~ 0660 (2021. 06) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Knowing the position of a golf ball during its flight is important for both the player as well as the viewers. To know the exact position of the ball is a difficult task as it moves in a very high speed. Using readily available tools like launch monitors is an option but, they are expensive and inaccessible. Here we have used a deep neural network, TrackNetV2 to track a golf ball when it is in motion. Additionally, the direction of the golf ball has been brought into consideration to get better results as compared to using only the TrackNet-v2 model. The used system would take a mono-stereo video as input and output a video with golf ball labelled over it. The trained model was applied on a series of golf shot videos and reasonable outputs were obtained |
| 키워드(Keyword) |
golf ball
golf club
TrackNetV2
Club
Tracking
|
| 파일첨부 |
PDF 다운로드
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