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OmniScorer: Real-Time Shot Spot Analysis for Court View Basketball Videos

Published: 01 January 2024 Publication History

Abstract

We propose a real-time shot spot analysis system specifically designed for basketball videos captured from a court view perspective, even in the presence of camera movements such as panning, zooming-in, and zooming-out. Our method consists of two stages: the first stage focuses on identifying the precise frame of the shot, while the second stage predicts the shot event category (i.e., 3-point shot, 2-point shot, or free-throw) and localizes the shot spot from a top-view perspective. Compared to existing end-to-end methods for shot event prediction, our method offers significant advantages. It effectively mitigates the overfitting problem and demonstrates superior performance in predicting 3-point shot and free-throw events. To the best of our knowledge, this work is the first real-time system capable of accurately localizing shot spots in basketball games captured by a moving camera with a court view.

Supplementary Material

MP4 File (MMAsiaDemo_OmniScorer_Real-Time_Shot_Spot_Analysis_for_Court_View.mp4)
Demo Video

References

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Huan-Hua Chang, Wen-Cheng Chen, Wan-Lun Tsai, Min-Chun Hu, and Wei-Ta Chu. 2021. An autoregressive generation model for producing instant basketball defensive trajectory. In Proceedings of the 2nd ACM International Conference on Multimedia in Asia. 1–7.
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Yang-Sheng Chao, Wen-Cheng Chen, Jian-Wei Peng, and Min-Chun Hu. 2022. Learning Robust Latent Space of Basketball Player Trajectories for Tactics Analysis. In 2022 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 1–6.
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Naga VS Chappa, Pha Nguyen, Alexander H Nelson, Han-Seok Seo, Xin Li, Page Daniel Dobbs, and Khoa Luu. 2023. Group Activity Recognition using Self-supervised Approach of Spatiotemporal Transformers. arXiv preprint arXiv:2303.12149 (2023).
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Min-Chun Hu, Ming-Hsiu Chang, Ja-Ling Wu, and Lin Chi. 2010. Robust camera calibration and player tracking in broadcast basketball video. IEEE Transactions on Multimedia 13, 2 (2010), 266–279.
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Ting-Yang Kao, Tse-Yu Pan, Chen-Ni Chen, Tsung-Hsun Tsai, Hung-Kuo Chu, and Min-Chun Hu. 2022. ScoreActuary: Hoop-Centric Trajectory-Aware Network for Fine-Grained Basketball Shot Analysis. In Proceedings of the 30th ACM International Conference on Multimedia. 6991–6993.
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Dongkeun Kim, Jinsung Lee, Minsu Cho, and Suha Kwak. 2022. Detector-free weakly supervised group activity recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 20083–20093.
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Bin Li and Xinyang Xu. 2021. Application of artificial intelligence in basketball sport. Journal of Education, Health and Sport 11, 7 (2021), 54–67.
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Andrii Maksai, Xinchao Wang, and Pascal Fua. 2016. What players do with the ball: A physically constrained interaction modeling. In Proceedings of the IEEE conference on computer vision and pattern recognition. 972–981.
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Cited By

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  • (2024)Enhancing Badminton Game Analysis: An Approach to Shot Refinement via a Fusion of Shuttlecock Tracking and Hit Detection from Monocular CameraSensors10.3390/s2413437224:13(4372)Online publication date: 5-Jul-2024

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    Published In

    cover image ACM Conferences
    MMAsia '23: Proceedings of the 5th ACM International Conference on Multimedia in Asia
    December 2023
    745 pages
    ISBN:9798400702051
    DOI:10.1145/3595916
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 January 2024

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    Author Tags

    1. basketball shot event recognition
    2. broadcast video analysis
    3. moving camera analysis
    4. shot spot analysis

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    • Demonstration
    • Research
    • Refereed limited

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    Conference

    MMAsia '23
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    MMAsia '23: ACM Multimedia Asia
    December 6 - 8, 2023
    Tainan, Taiwan

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    Overall Acceptance Rate 59 of 204 submissions, 29%

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    View all
    • (2024)Enhancing Badminton Game Analysis: An Approach to Shot Refinement via a Fusion of Shuttlecock Tracking and Hit Detection from Monocular CameraSensors10.3390/s2413437224:13(4372)Online publication date: 5-Jul-2024

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