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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 吳沛遠 | zh_TW |
dc.contributor.advisor | Pei-Yuan Wu | en |
dc.contributor.author | 邱耘偉 | zh_TW |
dc.contributor.author | Yun-Wei Chiu | en |
dc.date.accessioned | 2023-12-12T16:19:05Z | - |
dc.date.available | 2023-12-13 | - |
dc.date.copyright | 2023-12-12 | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-11-03 | - |
dc.identifier.citation | [1] D. Abbasi. Phases of throwing. https://www.orthobullets.com/shoulder-and-elbow/3039/phases-of-throwing, 2021.
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/91230 | - |
dc.description.abstract | 三維人體重建在棒球分析中的重要性與日俱增,但是在現實世界中的棒球投球姿態預測仍有不少困難需要克服。首先,野外的棒球投球姿勢缺少相關三維人體影像資料集,並且存在許多被身體部位遮蔽的關節點;其次,棒球投球動作在上肢加速期時關節點存在劇烈的速度變化。由於這個原因,用一般濾波器來去除隨機雜訊,同時保留投球運動的高頻訊號是非常困難的。為了解決前面所述的問題,我們提出了「關節點聯合體積空間三角測量」,透過利用各角度二維關節點熱力圖的資訊,去得到更為精準的三維人體姿態重建結果。我們另外設計了棒球客製化的濾波器系統以去除投球運動中的雜訊,同時保留投球的高頻運動信號。我們所提出的姿態重建方式在棒球投球相關動作中可以達到 33.1 毫米的平均位置誤差和 0.35 米/秒 (1.28 公里/小時) 的平均速度誤差。我們的研究成果可以直接使用在室內環境或真實棒球場上的人體姿態重建。 | zh_TW |
dc.description.abstract | 3D human pose estimation (HPE) has become increasingly important in baseball analytic, but there are several difficulties pertaining to pose estimation in real-world baseball pitching. First, in-the-wild baseball pitching lacks related 3D pose datasets and contains lots of joints occluded by other body parts. Second, baseball pitching contains dramatic velocity changes during arm acceleration phases. Due to these properties of pitching, it is difficult to use common filters to remove random noises while preserving high-frequency critical joint movements in pitching. To solve these problems, we propose joint-wise volumetric triangulation to reconstruct 3D human poses by utilizing the information of multiview 2D joint heatmaps generated by 2D HPE methods. We also designed a baseball customized filter system to remove noisy signal from pose movement while preserving the high-frequency pitching motion. Our proposed pose reconstruction scheme yields a 33.1 mm average position error and 0.35m/s (1.28 km/h) average velocity error on baseball pitching motion. Our work can be directly applied to estimate human poses either in indoor environment or real-world baseball field. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-12-12T16:19:05Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2023-12-12T16:19:05Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | Acknowledgements i
摘要 iii Abstract v Contents vii List of Figures ix List of Tables xi Denotation xiii Chapter 1 Introduction 1 Chapter 2 Related Work 5 2.1 ML-based 3D Human Pose Estimation (HPE) . . . . . . . . . . . . . 5 2.2 Multi-View Triangulation . . . . . . . . . . . . . . . . . . . . . . . 8 2.3 Human Pose Filtering . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.4 Sports Analysis Using Pose Estimation . . . . . . . . . . . . . . . . 10 Chapter 3 Method 13 3.1 Camera Geometry and Two-view DLT Triangulation . . . . . . . . . 13 3.2 Joint-wise Volumetric Triangulation . . . . . . . . . . . . . . . . . . 16 3.3 Filter System Customized for Baseball Pitching . . . . . . . . . . . 19 3.4 Outlier Removal . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 3.5 Filter System Depending on Characteristics of Pitching . . . . . . . . 21 Chapter 4 Datasets and Evaluation Metrics 23 4.1 Human3.6m Dataset . . . . . . . . . . . . . . . . . . . . . . . . . . 23 4.2 MSL Baseball Dataset . . . . . . . . . . . . . . . . . . . . . . . . . 23 4.3 Tainan Baseball Dataset . . . . . . . . . . . . . . . . . . . . . . . . 24 4.4 Evaluation Metrics . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 Chapter 5 Experiment 29 5.1 Joint-wise Volumetric Triangulation . . . . . . . . . . . . . . . . . . 29 5.1.1 Experiment Settings . . . . . . . . . . . . . . . . . . . . . . . . . . 29 5.1.2 Experiment Result . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 5.2 Baseball Customized Filter System . . . . . . . . . . . . . . . . . . 35 5.2.1 Experiment Settings . . . . . . . . . . . . . . . . . . . . . . . . . . 35 5.2.2 Experiment Result . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 Chapter 6 Conclusion and Future Work 41 References 43 | - |
dc.language.iso | en | - |
dc.title | 利用關節點聯合體積空間三角測量和棒球客製化濾波 器系統重建三維棒球投手姿態 | zh_TW |
dc.title | 3D baseball pitcher pose reconstruction using joint-wise volumetric triangulation and baseball customized filter system | en |
dc.type | Thesis | - |
dc.date.schoolyear | 112-1 | - |
dc.description.degree | 碩士 | - |
dc.contributor.oralexamcommittee | 吳育任;黃致豪 | zh_TW |
dc.contributor.oralexamcommittee | Yuh-Renn Wu;Jhih-Hao Huang | en |
dc.subject.keyword | 三維人體重建,三角測量,熱力圖,濾波器,棒球, | zh_TW |
dc.subject.keyword | 3D human pose estimation,triangulation,heatmap,filtering,baseball, | en |
dc.relation.page | 55 | - |
dc.identifier.doi | 10.6342/NTU202304381 | - |
dc.rights.note | 同意授權(全球公開) | - |
dc.date.accepted | 2023-11-03 | - |
dc.contributor.author-college | 電機資訊學院 | - |
dc.contributor.author-dept | 電信工程學研究所 | - |
顯示於系所單位: | 電信工程學研究所 |
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