|Search by item||HOME > Access full text > Search by item|
JBE, vol. 23, no. 6, pp.780-789, November, 2018
Armed person detection using Deep Learning
Geonuk Kim, Minhun Lee, Yoojin Huh, Gisu Hwang, and Seoung-Jun Oh
C.A E-mail: email@example.com
Nowadays, gun crimes occur very frequently not only in public places but in alleyways around the world. In particular, it is essential to detect a person armed by a pistol to prevent those crimes since small guns, such as pistols, are often used for those crimes. Because conventional works for armed person detection have treated an armed person as a single object in an input image, their accuracy is very low. The reason for the low accuracy comes from the fact that the gunman is treated as a single object although the pistol is a relatively much smaller object than the person. To solve this problem, we propose a novel algorithm called APDA(Armed Person Detection Algorithm). APDA detects the armed person using in a post-processing the positions of both wrists and the pistol achieved by the CNN-based human body feature detection model and the pistol detection model, respectively. We show that APDA can provide both 46.3% better recall and 14.04% better precision than SSD-MobileNet.
Keyword: Object-related human detection, Pose estimation, Object detection, CNN, Deep learning
 Kwangsoo Kim, Ungtae Kim and Sooyeong Kwak, “Real-time Vio- lence Video Detection based on Movement Change Characteristics” JBE, Vol.22, No. 2, pp. 234-239, March 2017, http://dx.doi.org/ 10.5909/JBE.2017.22.2.234 (accessed Aug. 1, 2018).
 Sanggi Kim and Dongseog Han, “Real Time Traffic Light Detection Algorithm Based on Color Map and Multilayer HOG-SVM” JBE, Vol. 22, No. 1, pp. 62-69, Jenuary 2017, http://dx.doi.org/ 10.5909/JBE. 2017.22.1.62 (accessed Aug. 3, 2018).
 Seulbeen Kim and Wonjun Kim, “User Identification Method using Palm Creases and Veins based on Deep Learning” JBE, Vol. 23, No. 3, pp. 395-402, May 2018, http://dx.doi.org/10.5909/JBE. 2018.23.3.395 (accessed Aug. 3, 2018).
 K. He, X. Zhang, S. Ren and J. Sun, “Deep Residual Learning for Image Recognition” In Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), pp. 770-778, 2016, https://doi.org/10.1109/cvpr.2016.90 (accessed Aug. 10, 2018).
 J. Hu, L. Shen and G. Sun, “Squeeze-and-Excitation Network” arXiv: 1709.01507, 2017, https://arxiv.org/pdf/1709.01507 (accessed Aug. 10, 2018).
 W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, Cheng-Yang Fu and Alexander C. Berg, “SSD: Single Shot MultiBox Detector” In Proceeding of the European Conference on Computer Vision(ECCV), pp.21-37, 2016, https://doi.org/10.1007/978-3-319-46448-0_2 (accessed Sep 8, 2018).
 A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto and H. Adam, “MobileNets: Efficient Con- volutional Neural Network for Mobile Vision Applications” arXiv: 1704.04861, 2017, https://arxiv.org/abs/1704.04861 (accessed Sep 20, 2018).
 J. Redmon, S. Divvala, R. Girshick and A. Farhadi, “You Only Look Once: Unified, Real-Time Object Detection” In Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 779-788, 2016, https://doi.org/10.1109/cvpr.2016.91(accessed Sep 8, 2018).
 Z. Cao, T. Simon, Shih-E. Wei and Y. Sheikh, “Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields” In Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1302-1310, 2017, https://doi.org/10.1109/cvpr.2017.143 (accessed Sep 8, 2018).
 Y. Lecun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard and L. D. Jackel, “Backpropagation Applied to Handwritten Zip Code Recognition” Neural Computation, vol. 1, no. 4, pp 541-551, Winter 1989, 10.1162/neco.1922.214.171.1241 (accessed Aug. 5, 2018).
 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, June 2017, https://doi.org/10.1109/tpami.2016.2577031 (accessed Aug. 10, 2018).
 A. Glowacz, M. Kmiec and A. Dziech, “Towards Robust Visual Knife Detection in Images: Active Appearance Models Initialised with Shape-specific Interest Points” In Multimedia Communications, Ser- vices and Security : 5th International Conference. vol. 287, pp. 148- 158, 2012, https://doi.org/10.1007/978-3-642-30721-8_15 (accessed Aug 9, 2018).
 L. Malagón-Borja, and O. Fuentes, “Object detection using image reconstruction with PCA” Image and Vision Computing, vol. 27, no. 1-2, pp. 2–9, 2009, https://doi.org/10.1016/j.imavis.2007.03.004 (accessed Aug 11, 2018).
 Derpanis KG, “The Harris corner detector” http://www.cse.yorku. ca/~kosta/CompVis_Notes/harris_detector.pdf(accessed Aug. 10, 2018)
 M. Grega, A. Matiolanski, P. Guzik and M. Leszczuk, “Automated Detection of Firearms and Knives in a CCTV Image” Sensors, vol. 16, no. 1. Jan 2016, https://doi.org/10.3390/s16010047 (accessed Aug 2, 2018).
 J. Canny, “A Computational Approach to Edge Detection” In IEEE Trans. Pattern Anal, Machine Intell., vol. PAMI-8, issue 6, pp. 679- 698, Nov 1986, https://doi.org/10.1016/b978-0-08-051581-6.50024-6 (accessed Aug 1, 2018).
 B.S. Manjunath, Philippe Salembier and Thomas Sikora, Introduction to MPEG-7, Multimedia Content Description Interface. Wiley, USA, 2002, https://doi.org/10.1007/springerreference_72884 (accessed Aug 15, 2018).
 Gyanendra K. Verma and Anamika Dhillon, “A HandHeld Gun Detection using Faster R-CNN Deep Learning” In Proceeding of the 7th International Conference on Computer and Communication Technology, pp. 84-88, November 2017, https://doi.org/10.1145/ 3154979.3154988 (accessed Aug 8, 2018).
 IMFDB: Internet Movie Firearms Database, http://www.imfdb.org/wiki/Main_Page (accessed Aug.15, 2018).
 J.M. Keller, M.R. Gray and J.A. junior, “A Fuzzy K-Nearest Neighbor Algorithm” In IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-15, issue 4, pp. 580-585, 1985, https://doi.org/10.1109/tsmc. 1985.6313426 (accessed Aug 9, 2018).
 G. Papandreou, T. Zhu, N. Kanazawa, A. Toshev, J. Tompson, C. Bregler and K. Murphy, “Towards Accurate Multi-person Pose Estimation in the Wild” In Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2017, https://doi.org/10.1109/cvpr.2017.395 (accessed Sep 5, 2018).
 A. Saxena, S. H. Chung and A. Y. Ng, “3-D Depth Reconstruction from a Single Still Image” International Journal of Computer Vision, Vol. 76 Issue 1, pp. 53-69, January 2008, https://doi.org/10.1007/ s11263-007-0071-y (accessed Sep 1, 2018).