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

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鄭彥彬

Yen-Pin Cheng
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蔡岱臻

Tai-Chen Tsai
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邱依璇

Yi-Hsuan Chiu
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潘則佑

Tse-Yu Pan

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.

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BibTeX

@inproceedings{cheng2023omniscorer,
	title={OmniScorer: Real-Time Shot Spot Analysis for Court View Basketball Videos},
	author={Cheng, Yen-Pin and Tsai, Tsung-Hsun and Tsai, Tai-Chen and Chiu, Yi-Hsuan and Chu, Hung-Kuo and Hu, Min-Chun},
	booktitle={ACM Multimedia Asia 2023},
	pages={1--3},
	year={2023}
}

Paper Download (MM Asia '23)