References
- 딥러닝 기반 고성능 얼굴인식 기술 동향, Research Trends for Deep Learning-Based High-Performance Face Recognition Technology, 전자통신동향분석, ETRI, 33권 4호 (통권 172)
- Xu, Zheng, Chuanping Hu, and Lin Mei. "Video structured description technology based intelligence analysis of surveillance videos for public security applications." Multimedia Tools and Applications 75.19 (2016): 12155-12172. https://doi.org/10.1007/s11042-015-3112-5
- The Global Video Surveillance As A Service (VSaaS)_ market, Global Industry Analysts, Inc. September 2015 Available at: http://www.strategyr.com/MarketResearch/Video_Surveillance_As_A_Service_VSaaS_Market_Trends.asp
- K. R. Jackson et al., "Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud," 2010 IEEE Second International Conference on Cloud Computing Technology and Science, Indianapolis, IN, 2010, pp. 159-168.
- Jinesh Varia, Sajee Mathew, Overview of Amazon Web Service, Amazon Web Service, January 2014, https://aws.amazon.com
- NVIDIA GPU Cloud (NGC), https://www.nvidia.com/en-us/gpu-cloud/
- DAS (Domain Awareness System) https://en.wikipedia.org/wiki/Domain_Awareness_System
- Y.Taigman et al.,"DeepFace: Closing Gap to Human-Level Performance in Face Verification," IEEE Conf. Computer Vision Pattern Recognition, Columbus,
- Omkar M Parkhi, Andrea Vedaldi, and Andrew Zisserman. Deep face recognition. Proceedings of the British Machine Vision, 1(3):6, 2015
- Oh, S.H., Kim, GW. & Lim, KS. Compact deep learned feature-based face recognition for Visual Internet of Things, J Supercomput (2017). https://doi.org/10.1007/s11227-017-2198-0
- L. Zheng, Y. Yang, and A. G. Hauptmann. Person re-identification: Past, present and future. arXiv:1610.02984, 2016.
- W. Li, R. Zhao, X. Wang, Human reidentification with transferred metric learning, in: Asian Conference on Computer Vision, Springer, 2012, pp. 31-44.
- L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang, Q. Tian, Scalable person re-identification: A benchmark, in: Proceedings of the IEEE International Conference on Computer Vision, 2015, pp. 1116-1124
- Oh, S.H., Han, SW., Choi, BS., & Lim, KS. Deep feature learning for person re-identification in a large-scale crowdsourced environment, J Supercomputing (2018). https://doi.org/10.1007/s11227-017-2221-5
- Li, Hui, and Chunhua Shen. "Reading car license plates using deep convolutional neural networks and LSTMs." arXiv preprint arXiv:1601.05610 (2016).
- Zheng, Zhedong, Liang Zheng, and Yi Yang. "Unlabeled samples generated by gan improve the person re-identification baseline in vitro." Proceedings of the IEEE International Conference on Computer Vision. 2017.