참고문헌
- D. R. Lee, W. G. La, H. Kim, "Drone Detection and Identification System using Artificial Intelligence", IEEE Int. Conf. on Information and Communication Technology Convergence (ICTC), pp. 1131-1133, 2018.
- J. Park, D. Kim, Y. Shin, S. Lee, "A Comparison of Convolutional Object Detectors for Real-time Drone Tracking Using a PTZ Camera," 2017 17th International Conference on Control, Automation and Systems (ICCAS 2017), pp. 696-699. 2017.
- Y. Chen, P. Aggarwal, J. Choi, and C. Kuo, "A Deep Learning Approach to Drone Monitoring," Proceedings of APSIPA Annual Summit and Conference 2017, pp. 686-691, 2017.
- M. Saqib, S. D. Khan, N. Sharma, M. Blumenstein, "A Study on Detecting Drones Using Deep Convolutional Neural Networks", IEEE Int. Conf. on Advanced Video and Signal Based Surveillance (AVSS), pp 1-5, 2017.
- C. Aker, S. Kalkan, "Using deep networks for drone detection", IEEE Int. Conf. on Advanced Video and Signal Based Surveillance (AVSS), pp 1-6, 2017.
- M. Lee, K, Seo, "Comparison of Region-based CNN Methods for Defects Detection on Metal Surface," The Transactions of the Korean Institute of Electrical Engineers, Vol. 67, No. 7, pp. 865~870, 2018. https://doi.org/10.5370/KIEE.2018.67.7.865
- Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun, "Faster r-cnn: Towards real-time object detection with region proposal networks," Advances in neural information processing systems, pp. 91-99, 2015.
- Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi, "You Only Look Once: Unified, Real-Time Object Detection," Proceedings of the IEEE conference on computer vision and pattern recognition, 2016.
- Joseph Redmon, Ali Farhadi, "YOLO9000: better, faster, stronger," arXiv:1612.08242, 2017.
- S. Pan, Q. Yang, "A survey on transfer learning", IEEE Transactions on knowledge and data engineering, Vol. 22, No. 10, pp. 1345-1359, 2010. https://doi.org/10.1109/TKDE.2009.191