A Fast Deep Learning Based Approach for Basketball Video Analysis
Author:
Affiliation:
1. TOBB University of Economics and Technology, Ankara, Turkey
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3448823.3448882
Reference20 articles.
1. A real-time trajectory-based ball detection-and-tracking framework for basketball video
2. Identification and tracking of players in sport videos
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1. Individual Locating of Soccer Players from a Single Moving View;Sensors;2023-09-16
2. ScoreActuary: Hoop-Centric Trajectory-Aware Network for Fine-Grained Basketball Shot Analysis;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10
3. CLIP-ReIdent: Contrastive Training for Player Re-Identification;Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports;2022-10-10
4. Efficient tracking of team sport players with few game-specific annotations;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2022-06
5. Temporal Segmentation of Basketball Continuous Videos Based on the Analysis of the Camera and Player Movements;Computational Collective Intelligence;2022
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