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NTIS 바로가기멀티미디어학회논문지 = Journal of Korea Multimedia Society, v.25 no.10, 2022년, pp.1433 - 1447
Lee, Han-Sung (School of Creative Convergence, Andong National University) , Kim Kang-San (Co., Ltd TNMTECH) , Kim, Won-Chan (Co., Ltd TNMTECH) , Woo, Tea-Kun (Co., Ltd TNMTECH) , Jung, Se-Hoon (Dept. of Computer Engineering, Sunchon National University)
Recently, as the demand for physical security technology to prevent leakage of technical and business information of companies and public institutions increases, the high tech companies are operating X-ray security checkpoints at building entrances to protect their intellectual property and technolo...
A. Chavaillaz, A. Schwaninger, S. Michel, and J. Sauer, "Expertise, Automation and Trust in X-Ray Screening of Cabin Baggage," Frontiers in P sychology, Vol. 10, pp. 256, 2019.
S. Baeriswyl, A. Krause, and A. Schwaninger, "Emotional Exhaustion and Job Satisfaction in Airport Security Officers Work Family Conflict as Mediator in the Job Demands Resources Model," Frontiers in P sychology, Vol. 7 pp. 663, 2016.
T. Halbherr, A. Schwaninger, G.R. Budgell, and A. Wales, "Airport Security Screener Competency: A Cross-Sectional and Longitudinal Analysis," The International J ournal of Aviation P sychology, Vol. 23, No. 2, pp. 113-129, 2013.
L. Swann, V. Popovic, A.L. Blackler, and B.J. Kraal, "Airport Security Screeners Expertise and Implications for Interface Design," Proceeding of International Design Research Society Conference, pp. 1465-1481, 2014.
S. Michel, S. M. Koller, J.C. de Ruiter, R. Moerland, M. Hogervorst, and A. Schwaninger, "Computer-Based Training Increases Efficiency in X-Ray Image Interpretation by Aviation Security Screeners," Proceeding of 41st Annual IEEE International Carnahan Conference on Security Technology, pp. 201-206, 2007.
A. Petrozziello, and I. Jordanov, "Automated Deep Learning for Threat Detection in Luggage from X-Ray Images," Proceeding of International Symposium on Experimental Algorithms, pp. 505-512, 2019.
K. Liang, J. B. Sigman, G. P. Spell, D. Strellis, W. Chang, F. Liu, et al., "Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection," arXiv P reprint, arXiv: 1912.06329, 2019.
S. Akcay and T.P. Breckon, "Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-Ray Security Imaging," arXiv P reprint, arXiv: 2001.01293, 2020.
S. Akcay, M.E. Kundegorski, M. Devereux, and T.P. Breckon, "Transfer Learning Using Convolutional Neural Networks for Object Classification within X-Ray Baggage Security Imagery," Proceeding of 2016 IEEE International Conference on Image P rocessing, pp. 1057-1061, 2016.
M. Bastan, M.R. Yousefi, and T.M. Breuel, "Visual Words on Baggage X-Ray Images," Proceeding of International Conference on Computer Analysis of Images and Patterns, pp. 360-368, 2011.
D.G. Lowe, "Object Recognition from Local Scale Invariant Features," Proceeding of the International Conference on Computer Vision, pp. 1150-1157, 1999.
D. Turcsany, A. Mouton, and T.P. Breckon, "Improving Feature-Based Object Recognition for X-Ray Baggage Security Screening Using Primed Visual Words," Proceeding of the IEEE International Conference on Industrial Technology, pp. 1140-1145, 2013.
M. Bastan, W. Byeon, and T. Breuel, "Object Recognition in Multi-View Dual Energy Xray Images," Proceeding of the British Machine Vision Conference, p. 11, 2013.
D. Mery, E. Svec, and M. Arias, "Object Recognition in Baggage Inspection Using Adaptive Sparse Representations of X-Ray Images," Proceeding of Image and Video Technology, pp. 709-720, 2016.
E.M. Kundegorski, S. Akcay, M. Devereux, A. Mouton, and T.P. Breckon, "On Using Feature Descriptors as Visual Words for Object Detection within X-Ray Baggage Security Screening," Proceedings of the International Conference on Imaging for Crime Detection and P revention, p. 12, 2016.
N. Jaccard, T.W. Rogers, E.J. Morton, and L.D. Griffin, "Using Deep Learning On X-Ray Images To Detect Threats," Proceeding of Cranfield Defence and Security Doctoral Symposium, pp. 1-12, 2016.
J. Yuan and C. Guo, "A Deep Learning Method for Detection of Dangerous Equipment," Proceeding of International Conference on Information Science and Technology, pp. 159-164, 2018.
M. Xu, H. Zhang, and J. Yang, "Prohibited Item Detection in Airport X-Ray Security Images via Attention Mechanism Based CNN," Proceeding of Chinese Conference on Pattern Recognition and Computer Vision, Lecture Notes in Computer Science, pp. 429-439, 2018.
H.S. Lee, K.S. Kim, and S.H. Jung, "Deep Learning-Based Storage Media Detection for X-Ray Security Checkpoints," Proceedings of the 16th International Conference on Multimedia Information Technology and Applications, pp. 20-21, 2020.
T.Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollar, "Focal Loss for Dense Object Detection," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 42, No. 2, pp. 318-327, 2018.
J. Redmon and A. Farhadi, "YOLO9000: Better, Faster, Stronger," Proceeding of 2017 IEEE Conference on Computer Vision and Pattern Recognition, pp. 7263-7271, 2017.
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, "You Only Look Once: Unified, RealTime Object Detection," Proceeding of 2016 IEEE Conference on Computer Vision and Pattern Recognition, pp. 779-788, 2016.
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.Y. Fu, et al., "SSD: Single Shot MultiBox Detector," Proceeding of European Conference on Computer Vision, pp. 21-37, 2016.
R. Girshick, J. Donahue, T. Darrell, and J. Malik, "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation," Proceeding of 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp. 580-587, 2014.
R. Girshick, "Fast R-CNN," Proceeding of IEEE International Conference on Computer Vision, pp. 1440-1448, 2015.
S. Ren, K. He, R. Girshick, and J. Sun, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 39, No. 6, pp. 1137-1149, 2016.
Z.Q. Zhao, P. Zheng, S.T. Xu, and X. Wu, "Object Detection with Deep Learning: A Review," IEEE Transactions on Neural Networks and Learning Systems, Vol. 30, No. 11, pp. 3212-3232, 2019.
J.Y. Kim, S.H. Jung, and C.B. Sim, "A Study on Object Detection using Restructured Retina Net," J ournal of Korea Multimedia Society, Vol. 23, No. 12, pp. 1531-1539, 2020.
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