dc.contributor.author | Shahi, Fatemeh | |
dc.date.accessioned | 2023-09-26 14:20:35 (GMT) | |
dc.date.available | 2023-09-26 14:20:35 (GMT) | |
dc.date.issued | 2023-09-26 | |
dc.date.submitted | 2023-09-13 | |
dc.identifier.uri | http://hdl.handle.net/10012/19949 | |
dc.description.abstract | Accurate pose estimation of ice hockey goaltenders presents a unique challenge due to the dynamic nature of the sport and the intricate interactions among the goalie, equipment, and net. This study introduces a comprehensive investigation into goalie pose estimation using both One-Stage and Two-Stage Learning GoalieNet architectures. The One-Stage Learning GoalieNet predicts all keypoints simultaneously, while the Two-Stage Learning GoalieNet employs a Keypoint Predictor Network (KPN) to predict 26 out of 29 keypoints and a Keyheatmap Fusion Network (KFN) to predict 3 stick-related keypoints. Evaluation on a NHL dataset underscores the effectiveness of both approaches in accurately predicting keypoints. Results on the test data reveal a median percentage of detected keypoints of 71% for the Two-Stage approach and 70% for the One-Stage approach, along with normalized localization errors on detected keypoints of 0.0187 for the Two-Stage and 0.0194 for the One-Stage approach. This work introduces the first-ever goalie pose estimation technique designed specifically for ice hockey, accompanied by a thorough analysis of the obtained results. | en |
dc.language.iso | en | en |
dc.publisher | University of Waterloo | en |
dc.title | A Two-Stage Learning Approach for Goalie, Net and Stick Pose Estimation in Ice Hockey | en |
dc.type | Master Thesis | en |
dc.pending | false | |
uws-etd.degree.department | Systems Design Engineering | en |
uws-etd.degree.discipline | System Design Engineering | en |
uws-etd.degree.grantor | University of Waterloo | en |
uws-etd.degree | Master of Applied Science | en |
uws-etd.embargo.terms | 0 | en |
uws.contributor.advisor | Wong, Alexander | |
uws.contributor.affiliation1 | Faculty of Engineering | en |
uws.published.city | Waterloo | en |
uws.published.country | Canada | en |
uws.published.province | Ontario | en |
uws.typeOfResource | Text | en |
uws.peerReviewStatus | Unreviewed | en |
uws.scholarLevel | Graduate | en |