Smart Camera for Traffic Applications
Author:
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
Link
https://link.springer.com/content/pdf/10.1007/s11265-023-01843-1.pdf
Reference19 articles.
1. Yuan, Y., Zou, W., Zhao, Y., Wang, X., Hu, X., & Komodakis, N. (2017). A robust and efficient approach to license plate detection. IEEE Transactions on Image Processing, 26, 1102–1114.
2. Zhai, X., Bensaali, F., & Ramalingam, S. (2011). Real-time license plate localisation on fpga. In: CVPR 2011 WORKSHOPS, pp. 14–19. https://doi.org/10.1109/CVPRW.2011.5981739
3. Chhabra, S., Jain, H., & Saini, S. (2016). Fpga based hardware implementation of automatic vehicle license plate detection system. In: 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1181–1187. https://doi.org/10.1109/ICACCI.2016.7732205
4. Sborz, G. A. M., Pohl, G. A., Viel, F., & Zeferino, C. A. (2019). A custom processor for an fpga-based platform for automatic license plate recognition. In: 2019 32nd Symposium on Integrated Circuits and Systems Design (SBCCI), pp. 1–6.
5. Dalal, N., & Triggs, B. (2005). Histograms of oriented gradients for human detection. In: CVPR
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