Abstract
Performance analysis for basketball development programs are based on the athletes’ movement patterns, playing position on an area, and ball acquisition. The objective of the system is to automate the performance analysis by providing raw statistical data based on the player’s behaviors produced through tracking the player inside the basketball court. Using visual features described by SURF, unoccluded players are localized using a tracking by detection approach with an observed accuracy of 40%. Player positions are also adjusted to compensate for distortions, which improves player localization by 0.11%, on average.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yang, T., F. Chen, D. Kimber, and J. Vaughan. 2007. Robust people detection and tracking in a multi-camera indoor visual surveillance system. Beijing. https://doi.org/10.1109/icme.2007.4284740.
Zhixing, J., and B. Bhanu. 2012. Single camera multi-person tracking based on crowd simulation. Pattern recognition (ICPR), In 2012 21st international conference, Tsubaka, 3660–3663. ISSN: 1051-4651.
BIG sportVU: A Multi-dimension Player at the Big Ten Tournament. n.d. Retrieved from http://www.stats.com/casestudies/BigTenSportVU_CaseStudy.pdf.
Erčulj, F., B. Dežman, G. Vučković, J. Perš, M. Perše, and M. Kristan. 2008. An analysis of basketball player’s movements in the Slovenian basketball league play-offs using the sagit tracking system. Informally published manuscript, Facta Universitatis. Retrieved from http://www.facta.junis.ni.ac.rs/pe/pe200801/pe200801-08.pdf.
Bay, H., et al. 2008. Speeded-Up Robust Features (SURF) (Revised Edition) [Online]. Available: http://www.vision.ee.ethz.ch/~surf/eccv06.pdf.
Yin, Fei, Dimitrios Makris, Sergio Velastin. 2007. Performance evaluation of object tracking algorithms. In 10th IEEE international workshop on performance evaluation of tracking and surveillance (PETS2007), Rio de Janeiro, Brazil.
Acknowledgements
We would like to extend our thanks De La Salle University Men’s Basketball Team Coach Marco Januz “Juno” Sauler for sharing his expertise and insights in the field of basketball and the De La Salle Green Archers Basketball team for allowing us to record their training sessions. We would also like to extend our heartfelt gratitude to Mr. Carlo Ochotorena and Mrs. Cecile Ochotorena for sharing their knowledge and resources in the undertaking of the recording of the training sessions. This study would not have been made possible without the generous contributions of the aforementioned individuals.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Petilla, C.A.B., Yap, G.D.G., Zheng, N.Y., Yuson, P.L.L., Ilao, J.P. (2018). Single Player Tracking in Multiple Sports Videos. In: Billingsley, J., Brett, P. (eds) Mechatronics and Machine Vision in Practice 3. Springer, Cham. https://doi.org/10.1007/978-3-319-76947-9_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-76947-9_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-76946-2
Online ISBN: 978-3-319-76947-9
eBook Packages: EngineeringEngineering (R0)