Abstract
It has always been important to analyze games in the sports field. Especially, the motion tracking of a player is useful for analysis of strategy; therefore, it must be recorded. The outline of the movement path of a player has been recorded manually based on video so far. Recently, the movement path of a player can be recorded automatically from video; however, since a dedicated system using many high-performance cameras under an environment where various conditions are satisfied is necessary, it can only be used in some professional sports such as the soccer. On the other hand, there is a large demand for low-cost and simple systems so that they can be used easily in amateur sports. In this paper, we propose a method for extracting spatial position of players from video of lacrosse game. The method can detect players, even if video includes shakes. We implement the proposed method and evaluate the performance based on actual video of lacrosse game.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Baysal, S., Duygulu, P.: A soccer player tracking system using model field particles. IEEE Trans. Circ. Syst. Video Technol. 26(7), 1350–1362 (2016)
Xing, J., Ai, H., Liu, L., Lao, S.: Multiple player tracking in sports video: a dual-mode two-way Bayesian inference approach with progressive observation modeling. IEEE Trans. Image Process. 20(6), 1652–1667 (2011)
Pers, J., Vuckovic, G., Kovacic, S., Dezman, B.: A low-cost real-time tracker of live sport events. In: Proceedings of 2nd International Symposium on Image and Signal Processing and Analysis, pp. 362–365 (2001)
Utsumi, O., Miura, K., Ide, I., Sakai, S., Tanaka, H.: An object detection method for describing soccer games from video. In: Proceedings of IEEE Conference on Multimedia and Expo ICME02, vol. 1, pp. 45–48 (2002)
Morais, E., Ferreira, A., Cunha, S., Barros, R., Rocha, A., Goldenstein, S.: A multiple camera methodology for automatic localization and tracking of futsal players. Pattern Recogn. Lett. 39, 21–30 (2014)
Zhu, G., Xu, C., Huang, Q., Gao, W.: Automatic multi-player detection and tracking in broadcast sports video using support vector machine and particle filter. In: Proceedings of International Conference Multimedia & Expo, pp. 1629–1632 (2006)
Mauthner, T., Koch, C., Tilp, M., Bischof, H.: Visual tracking of athletes in beach volleyball using a single camera. Int. J. Comput. Sci. Sport 6, 21–34 (2007)
Acknowledgements
This work was partially supported by the Japan Society for the Promotion of Science through Grants-in-Aid for Scientific Research (B) (17H01742) and JST CREST JPMJCR1402.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Takagi, M., Miwa, H. (2020). Method for Extracting Positions of Players from Video of Lacrosse Game. In: Barolli, L., Nishino, H., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2019. Advances in Intelligent Systems and Computing, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-030-29035-1_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-29035-1_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29034-4
Online ISBN: 978-3-030-29035-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)