Browse > Article
http://dx.doi.org/10.9717/kmms.2020.23.12.1531

A Study on Object Detection using Restructured RetinaNet  

Kim, Jun Yeong (Sunchon National University, Dept of Multimedia engineering)
Jung, Se Hoon (Andong National University, School of Creative Convergence)
Sim, Chun Bo (Sunchon National University, Dept of Multimedia engineering)
Publication Information
Journal of Korea Multimedia Society / v.23, no.12, 2020 , pp. 1531-1539 More about this Journal
Abstract
Searching for portable baggage through the system before boarding an airplane at an airport is important because it prevents many risks. In addition to these dangerous items, personal and confidential information leaks are occurring at airports through data storage devices. In the airport search system, there is a need for a system that searches not only dangerous items but also devices that can leak data. In this paper, we proposed a model that searches for a data storage device by improving the existing model. A comparative evaluation was conducted using existing algorithms. As a result, it was confirmed that the performance of the proposed model is 74 in the training data and 46.73 in the test data, which is superior to the existing model.
Keywords
Object Detection; Airport; Data Storage Device; FPN;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
연도 인용수 순위
1 D. Berckmans, "Automatic On-line Monitoring of Animals by Precision Livestock Farming," Livestock Production and Society, pp. 27-30, 2004.
2 J.Y. Jeon, D.Y. Park, S.Y. Lim, Y.S. Ji, and S.B. Lim, "Automatic Extraction of Hangul Stroke Element Using Faster R-CNN for Font Similarity," Journal of Korea Multimedia Society, Vol 23, No. 8, pp. 953-964, 2020.   DOI
3 K.S. Yoon and J.Y. Choi, "Compressed Ensemble of Deep Convolutional Neural Networks with Global and Local Facial Features for Improved FaceRecognition," Journal of Korea Multimedia Society, Vol. 23, No. 8, pp. 1019-1029, 2020.   DOI
4 J.Y. Kim, S.A. Hong, and H.M. Kim, "A Style GAN Image Detection Model Based on Convolutional Neural Network," Journal of Korea Multimedia Society, Vol. 22, No. 12, pp. 1147- 1456, 2019.
5 H. Im, S. Cho, J. Quan, J. Kim, C. Lee, and G. Lee, "Prediction of Aviation Security Technologies through Cluster Analysis of Patent Big Data," Journal of the Korean Air Management Association, Vol. 15, No. 5, pp. 43-63, 2017.
6 G. Nowacki and B. Paszukow, "Security Requirements for New Threats at International Airports," TransNav the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 12, No. 1, pp. 187-192, 2018.   DOI
7 Homeland Security Research Corporation, X-Ray Baggage, Cargo, People, Container & Vehicle Screening Market-2017-2021, 2017.
8 J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, "You Only Look Once: Unifed, Real-Time Object Detection," IEEE Conference on Computer Vision and Pattern Recognition, pp. 779-788, 2016.
9 W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Fu, et al., "SSD:Single Shot Multi Box Detector," Proceeding of European Conference on Computer Vision, pp. 21-37, 2016.
10 T. 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, Issue 2, pp. 318-327, 2018.   DOI
11 R. Girshick, J. Donahue, T. Darrell, and J. Malik, "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation," Proceeding of IEEE Conference on Computer Vision and Pattern Recognition, pp. 580-587, 2014
12 R. Girshick, "Fast R-CNN," Proceeding of IEEE International Conference on Computer Vision, pp.1440-1448, 2015.
13 J.W. Hong, J.H. OH, and H.K. Lee, "Smart Airport and Next Generation Security Screening Technology," Electronics and Telecommunications Trends, Vol. 34, Issue 2, pp. 73-82, 2019.
14 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, Issue 6, pp. 1137-1149, 2017.   DOI
15 F. Shkurti, W. Chang, P. Henderson, M. Islam, J. Higuera, J. Li, et al., "Underwater Multi-Robot Convoying Using Visual Tracking by Detection," IEEE International Workshop on Intelligent Robots and System, pp. 4189-4196, 2017.
16 A. Krizhevsky, I. Sutskever, and G.E. Hinton, "ImageNet Classification with Deep Convolutional Neural Networks," Communications of the ACM, Vol. 6, No. 6, pp. 1097-1105, 2012.