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Found 6 papers, 0 papers with code
Evaluating deep tracking models for player tracking in broadcast ice hockey video
Tracking and identifying players is an important problem in computer vision based ice hockey analytics.
Player Tracking and Identification in Ice Hockey
The player identification model further takes advantage of the available NHL game roster data to obtain a player identification accuracy of 83%.
Multi-task learning for jersey number recognition in Ice Hockey
Identifying players in sports videos by recognizing their jersey numbers is a challenging task in computer vision.
Puck localization and multi-task event recognition in broadcast hockey videos
In this paper, we introduce and implement a network for puck localization in broadcast hockey video.
Localization of Ice-Rink for Broadcast Hockey Videos
To localize the frames on the ice-rink model, a ResNet18-based regressor is implemented and trained, which regresses to four control points on the model in a frame-by-frame fashion.
Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions
Experimental results demonstrate the effectiveness of the network by obtaining a 55% average F1 score on the NHL dataset and by achieving competitive performance compared to the state of the art on the SoccerNet dataset.
Ranked #4 on
Action Spotting
on SoccerNet
