| 講演抄録/キーワード |
| 講演名 |
2024-01-25 16:10
[ポスター講演]Automated Electronic Strike Zone and Pitch Trajectory Overlay System Based on AI computer vision ○Lin Wang・Bor-Yao Tseng・Hung-Tse Chiang・Jiann-Liang Chen(NTUST)・Han-Chuan Hsieh(TISS) IA2023-64 |
| 抄録 |
(和) |
At present, the electronic strike zone in practical applications is usually fixed in a specific height range, and the accuracy of the electronic strike zone can be improved through human pose estimation. Therefore, we proposed a system, using the common baseball game perspective image and AI visual recognition technology, automatically detects the height and posture of the player's body, and combined with the baseball nine-grid positioning principle, timely establish the strike zone in line with the baseball rules and physical characteristics of the player. Regarding Intersection over Union (IoU) metrics, our system achieved an accuracy of 0.8541, which is 14.29% higher than the 0.7473 accuracy of the current electronic strike zone. Considering the spectator experience and assistance in pitcher training, our system has also added the function of automatic detection of pitch tracks, which can overlay multiple pitch tracks and visually show the difference between pitch tracks. Combined with our proposed strike zone range detection system, the overlapping relationship between pitch trajectory and strike zone can be demonstrated more comprehensively. |
| (英) |
At present, the electronic strike zone in practical applications is usually fixed in a specific height range, and the accuracy of the electronic strike zone can be improved through human pose estimation. Therefore, we proposed a system, using the common baseball game perspective image and AI visual recognition technology, automatically detects the height and posture of the player's body, and combined with the baseball nine-grid positioning principle, timely establish the strike zone in line with the baseball rules and physical characteristics of the player. Regarding Intersection over Union (IoU) metrics, our system achieved an accuracy of 0.8541, which is 14.29% higher than the 0.7473 accuracy of the current electronic strike zone. Considering the spectator experience and assistance in pitcher training, our system has also added the function of automatic detection of pitch tracks, which can overlay multiple pitch tracks and visually show the difference between pitch tracks. Combined with our proposed strike zone range detection system, the overlapping relationship between pitch trajectory and strike zone can be demonstrated more comprehensively. |
| キーワード |
(和) |
Pose estimation / Electronic Strike Zone / Ball Trajectory / AI Computer Vision / / / / |
| (英) |
Pose estimation / Electronic Strike Zone / Ball Trajectory / AI Computer Vision / / / / |
| 文献情報 |
信学技報, vol. 123, no. 372, IA2023-64, pp. 40-44, 2024年1月. |
| 資料番号 |
IA2023-64 |
| 発行日 |
2024-01-18 (IA) |
| ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
IA2023-64 |
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