Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash.
C. Brumann, M. Kukuk, C. Reinsberger, Sensors (Basel) 21 (2021) 4550.
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Author
Brumann, C;
Kukuk, M;
Reinsberger, ClausLibreCat
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Journal Title
Sensors (Basel)
Volume
21
Issue
13
Page
4550
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Brumann C, Kukuk M, Reinsberger C. Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash. . Sensors (Basel). 2021;21(13):4550.
Brumann, C., Kukuk, M., & Reinsberger, C. (2021). Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash. . Sensors (Basel), 21(13), 4550.
@article{Brumann_Kukuk_Reinsberger_2021, title={Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash. }, volume={21}, number={13}, journal={Sensors (Basel)}, author={Brumann, C and Kukuk, M and Reinsberger, Claus}, year={2021}, pages={4550} }
Brumann, C, M Kukuk, and Claus Reinsberger. “Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash. .” Sensors (Basel) 21, no. 13 (2021): 4550.
C. Brumann, M. Kukuk, and C. Reinsberger, “Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash. ,” Sensors (Basel), vol. 21, no. 13, p. 4550, 2021.
Brumann, C., et al. “Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash. .” Sensors (Basel), vol. 21, no. 13, 2021, p. 4550.
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