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Camera-based Basketball Scoring Detection Using Convolutional Neural Network

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Abstract

Recently, deep learning methods have been applied in many real scenarios with the development of convolutional neural networks (CNNs). In this paper, we introduce a camera-based basketball scoring detection (BSD) method with CNN based object detection and frame difference-based motion detection. In the proposed BSD method, the videos of the basketball court are taken as inputs. Afterwards, the real-time object detection, i.e., you only look once (YOLO) model, is implemented to locate the position of the basketball hoop. Then, the motion detection based on frame difference is utilized to detect whether there is any object motion in the area of the hoop to determine the basketball scoring condition. The proposed BSD method runs in real-time with satisfactory basketball scoring detection accuracy. Our experiments on the collected real scenario basketball court videos show the accuracy of the proposed BSD method. Furthermore, several intelligent basketball analysis systems based on the proposed method have been installed at multiple basketball courts in Beijing, and they provide good performance.

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Acknowledgements

This work was supported by Research on Educational Science Planning in Zhejiang Province (No. 2019SCG195), “13th Five Year Plan” Teaching Reform Project of Zhejiang University and Shandong Provincial Key Research and Development Program (Major Scientific and Technological Innovation Project) (No. 2019JZZY010119).

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Authors and Affiliations

  1. Department of Public Physical and Art Education, Zhejiang University, Hangzhou, 310058, China

    Xu-Bo Fu & De-Yun Pan

  2. North China Electric Power University, Beijing, 102206, China

    Shao-Long Yue

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Xu-Bo Fu received the B.Sc. degree in physical education and training from the Physical Education Department, Zhejiang University, China in 2006, the M.Sc. degree in physical education and training from the Physical Education Department, Zhejiang University, China in 2008. He is an associate professor in the Public Sports and Art Department, Zhejiang University, China. He offers junior and football intermediate courses for undergraduate students. He also published five papers in related fields. He hosted or participated in 4 types of projects. Among them, he presided over the “Regional Sports Economic Industry Layout and Institutional Adjustment Research: Taking the Yangtze River Delta as an Example”. He participated in the “Practical Research on Public Physical Education Model with Non-Austrian Projects” project and won the second prize of Zhejiang Teaching Achievements. In 2010, he got the “Sunshine Sports Award” by the Sports Association of the Higher Industri- al School directly under the Ministry of Education. In 2010, he was awarded as the “Outstanding Physical Education Teacher” by the Hangzhou Sports Association. In 2013, he won the second prize of Zhejiang University Quality Teaching Award.

His research interest is school physical education.

Shao-Long Yue received the B.Sc. degree in automation from School of Electrical and Electronic Engineering, Shandong University of Technology, China in 2018. He is currently a master student in control engineering at School of Control and Computer Engineering, North China Electric Power University, China.

His research interests include pattern recognition, computer vision and machine learning.

De-Yun Pan received the B. Sc. degree in physical education basketball from Beijing Sport University, China in 1999. He also is a national basketball referee. He is currently the director of the Sports Training Center of the Public Sports and Art Department of Zhejiang University, China. He is the deputy director of the Basketball Committee of the Chinese University Sports Association, and the director of the Coaching Committee of the Zhejiang University Sports Association. He is the director of the Coaching Committee of the Zhejiang University Sports Association, the deputy director of the Zhejiang Basketball Association Coaching Committee and member of the Youth Committee of the Chinese Basketball Association.

His research interest is physical education.

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Fu, XB., Yue, SL. & Pan, DY. Camera-based Basketball Scoring Detection Using Convolutional Neural Network. Int. J. Autom. Comput. 18, 266–276 (2021). https://doi.org/10.1007/s11633-020-1259-7

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