鄭彥彬
蔡岱臻
邱依璇
潘則佑
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.
@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} }