EIoU-distance loss: an automated team-wise player detection and tracking with jersey colour recognition in soccer-Reference-Cited by-同舟云学术

EIoU-distance loss: an automated team-wise player detection and tracking with jersey colour recognition in soccer

Published:2024-02-03 Issue:1 Volume:36 Page:
ISSN:0954-0091
Container-title:Connection Science
language:en
Short-container-title:Connection Science

Author:

Thulasya Naik Banoth¹,Hashmi Mohammad Farukh¹,Gupta Aditya²

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2291991

Reference40 articles.

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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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