FPGA-Based Vision Processing System for Automatic Online Player Tracking in Indoor Sports

Author:

Ibraheem Omar W.,Irwansyah Arif,Hagemeyer Jens,Porrmann Mario,Rueckert Ulrich

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Reference38 articles.

1. APIDIS Basketball dataset. http://sites.uclouvain.be/ispgroup/index.php/Softwares/APIDIS .

2. Acuna, D. (2017). “Towards Real-Time Detection and Tracking of Basketball Players using Deep Neural Networks”. In: 31st Conference on Neural Information Processing Systems (NIPS 2017).

3. Automated Imaging Association (AIA). (2016). GigE Vision - True Plug and Play Connectivity. http://www.visiononline.org .

4. Alahi, A., Boursier, Y., Jacques, L., Vandergheynst, P. (2009). Sport players detection and tracking with a mixed network of planar and omnidirectional cameras. In 3rd ACM/IEEE international conference on distributed smart cameras, ICDSC 2009 (pp. 1–8), https://doi.org/10.1109/ICDSC.2009.52893406 .

5. Albuquerque, E.S., Ferreira, A.P.A., Silva, G.M., Carlos, R.L.M., Albuquerque, D.S., Barros, E.N.S. (2016). An FPGA-based accelerator for multiple real-time template matching. In 29th symposium on integrated circuits and systems design (SBCCI) (pp. 1–4).

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