Sports Video Tracking Technology Based on Optimized Decision Tree Algorithm(DTA)

Author:

Wu Zhong

Publisher

Springer Nature Singapore

Reference12 articles.

1. Mulimani, N., Makandar, A.: Sports video annotation and multi- target tracking using extended gaussian mixture model. Int. J. Recent Technol. Eng. 10(1), 1–6 (2021)

2. Ortega, J.P., Lozano, J., Gantois, P., et al.: Comparison of the validity and reliability of local positioning systems against other tracking technologies in team sport: a systematic review. Proceedings of the Institution of Mechanical Engineers, Part P: J. Sports Eng. Technol. 236(2), 73–82 (2021)

3. Athanasiadis, P.J.: On the behavior of slackline webbings under dynamic loads and the simulation of leash falls. Proceedings of the Institution of Mechanical Engineers, Part P: J. Sports Eng. Technol. 233(1), 75–85 (2019)

4. Balasundaram, R., Devi, S.S.: Genetic algorithm-based hybrid approach for optimal instance selection of minimising makespan in permutation flowshop scheduling. Int. J. Business Intelligence Syst. Eng. 1(3), 197–225 (2019)

5. Rana, M., Mittal, V.: Wearable sensors for real-time kinematics analysis in sports: a review. IEEE Sensors J. 21(2), 1187–1207 (2020)

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