Prediction of the Ball Location on the 2D Plane in Football Using Optical Tracking Data-Reference-Cited by-同舟云学术

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Prediction of the Ball Location on the 2D Plane in Football Using Optical Tracking Data

Published:2022-01-01 Issue:1 Volume:10 Page:1-8
ISSN:2147-4575
Container-title:Academic Platform Journal of Engineering and Smart Systems
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Author:

AMİRLİ Anar,ALEMDAR Hande

Publisher

Academic Platform Journal of Engineering and Smart Systems

Reference33 articles.

1. A. Bialkowski, P. Lucey, P. Carr, Y. Yue, S. Sridharan, and I. Matthews, "Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data," Proc. - IEEE Int. Conf. Data Mining, ICDM, vol. 2015-Janua, no. January, pp. 725–730, 2014.

2. B. Skinner and S. J. Guy, "A method for using player tracking data in basketball to learn player skills and predict team performance," PLoS One, vol. 10, no. 9, pp. 1–15, 2015.

3. P. Lucey, D. Oliver, P. Carr, J. Roth, and I. Matthews, "Assessing team strategy using spatiotemporal data," Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min., vol. Part F1288, pp. 1366–1374, 2013.

4. C. Perin, R. Vuillemot, C. D. Stolper, J. T. Stasko, J. Wood, and S. Carpendale, "State of the Art of Sports Data Visualization," Comput. Graph. Forum, vol. 37, no. 3, pp. 663–686, 2018.

5. A. Rusu, D. Stoica, E. Burns, B. Hample, K. McGarry, and R. Russell, "Dynamic visualizations for soccer statistical analysis," Proc. Int. Conf. Inf. Vis., pp. 207–212, 2010.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

2. Player Tracking Data in Sports;Annual Review of Statistics and Its Application;2023-03-10

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