EIoU-distance loss: an automated team-wise player detection and tracking with jersey colour recognition in soccer
Author:
Affiliation:
1. Department of Electronics and Communication Engineering, National Institute of Technology, Warangal, India
2. Department of Information and Communication Technology, University of Agder, Grimstad, Norway
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Human-Computer Interaction,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2291991
Reference40 articles.
1. Arbués-Sangüesa A. Haro G. & Ballester C. (2019). Multi-Person tracking by multi-scale detection in Basketball scenarios. arXiv preprint arXiv:1907.04637.
2. Burić, M., Pobar, M., & Ivašić-Kos, M. (2018, May 21-25). Object detection in sports videos. 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) (pp. 1034–1039). IEEE.
3. U 2 D 2 Net: Unsupervised unified image dehazing and denoising network for single hazy image enhancement;Ding B.;IEEE Transactions on Multimedia,2023
4. D'Orazio, T., Leo, M., Mosca, N., Spagnolo, P., & Mazzeo, P. L. (2009, 2-4 September). A semi-automatic system for ground truth generation of soccer video sequences. 2009 sixth IEEE International Conference on Advanced Video and Signal Based Surveillance (pp. 559–564). IEEE.
5. Review of Sensor-based Activity Recognition Systems
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