References
- M. Lee, "Fragmentary thoughts about code of conduct and risk communication to prevent and control COVID-19 in Korea, 2020," Korean J. Health Educ Promot, vol. 37, no. 1, 2020, pp. 103-107. https://doi.org/10.14367/kjhep.2020.37.1.103
- H. Mun and K. Han, "Design for Access Control System based on Voice Recognition for Infectious Disease Prevention," J. of the Korea Convergence Society, vol. 39, no.7, 2016, pp. 19-24.
- Y. Lee, "A Semantic Diagnosis and Tracking System to Prevent the Spread of COVID-19," J. of the Korea Institute of Electronic Communication Sciences, vol. 15, no.3, 2020, pp. 611-616. https://doi.org/10.13067/JKIECS.2020.15.3.611
- S. Hwang, K. Kim, and K. Kim, "An Authentication Mechanism based on QR Code in Gate Control System," Proceedings of Symposium of the Korean Institute of communications and Information Sciences, Jeju-do, Korea, 2015, pp. 664-645.
- Y. Kim, S. Park, and D. Kim, "Research on Robust Face Recognition against Lighting Variation Using CNN," J. of the Korea Institute of Electronic Communication Sciences, vol. 12, no. 2, 2017, pp. 325-330. https://doi.org/10.13067/JKIECS.2017.12.2.325
- P. Viola and M. Jones, "Rapid Object Detection Using a Boosted Cascade of Simple Features," Proceeding of IEEE Computer Society Conference On Computer Vision and Pattern Recognition, vol. 1, 2001, pp. 511-518.
- S. Kim, "Design of Efficient Gradient Orientation Bin and Weight Calculation Circuit for HOG Feature Calculation," J. of The Institute of Electronics and Information Engineers, vol. 51, no. 11, 2015, pp. 66-72. https://doi.org/10.5573/IEIE.2014.51.11.066
- I. Cho and S. Yeom, "Long Distance Face Detection with Region of Interest Extraction," J. of Korea Institute of Intelligent Systems, vol. 28, no. 3, 2018, pp. 281-286. https://doi.org/10.5391/JKIIS.2018.28.3.281
- G. Son and J. Park, "A Study of Kernel Characteristics of CNN Deep Learning for Effective Fire Detection Based on Video," J. of the Korea Institute of Electronic Communication Sciences, vol. 13, no. 6, 2018, pp. 1257-1262. https://doi.org/10.13067/JKIECS.2018.13.6.1257
- M. Sandler, A. Howard, M. Zhu, A. Zhmoginov and L. Chieh "MobileNetV2: Inverted Residuals and Linear Bottlenecks," The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 4510-4520. arXiv:1801.04381.