Tracking of Soccer Players Using Optical Flow

Author:

Kagalagomb Chetan G.,Dixit Sunanda

Publisher

Springer Singapore

Reference14 articles.

1. D.A. Narhare, G.V. Molke, Dr. RajendraKanphade, Motion trajectory of players using optical flow, in Proceedings of International Conference on Recent Trends In Information Telecommunication and Computing, ITC (2014)

2. T. Yamamoto, H. Kataoka, M. Hayashi, Y. Aoki, K. Oshima, M. Tanabiki, multiple players tracking and identification using group detection and player number recognition in sports video, in IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society (IEEE, 2013), pp. 2442–2446

3. J.B. SuatGedikli, N.v. Hoyningen-Huene, B. Kirchlechner, M. Beetz, An adaptive vision system for tracking soccer players from variable camera settings, in Proceedings of the 5th International Conference on Computer Vision Systems (ICVS) (2007)

4. D.H. Longteng Kong, J. Qin, Y. Wang, A joint framework for athlete tracking and action recognition in sports videos, in IEEE Transactions on Circuits and Systems for Video Technology (2019)

5. R.K. Meghana, Y. Chitkara, A.S. Mohana, Background-modelling techniques for foreground detection and tracking using gaussian mixture model, in 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), (IEEE, 2019), pp. 1129–1134

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