Browse > Article
http://dx.doi.org/10.5370/KIEE.2018.67.4.578

Livestock Anti-theft System Using Morphological Feature-based Model  

Kim, Jun Hyoung (Dept. of Control and Robotics Engineering, Kunsan National University)
Joo, Yung Hoon (Dept. of Control and Robotics Engineering, Kunsan National University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.67, no.4, 2018 , pp. 578-585 More about this Journal
Abstract
In this paper, we propose a classification and theft detection system for human and livestock for various moving objects in a barn. To do this, first, we extract the moving objects using the GMM method. Second, the noise generated when extracting the moving object is removed, and the moving object is recognized through the labeling method. And we propose a method to classify human and livestock using model formation and color for the unique form of the detected moving object. In addition, we propose a method of tracking and overlapping the classified moving objects using Kalman filter. Through this overlap determination method, an event notifying a dangerous situation is generated and a theft determination system is constructed. Finally, we demonstrate the feasibility and applicability of the proposed system through several experiments.
Keywords
Moving object classification; Feature based model; Theft judgment system; Gaussian mixture model; Convex hull; Bayesian; Kalman filter;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 H. D. Lee, S. I. Lee, D. G. Choo, J. M. Choi, and N. S. Park, "CCTV system application examples and trends", Korea Multimedia Society, vol. 14, no. 3, pp. 19-27, 2010.
2 H. Liu, S. Chen, and N. Kubota, "Intelligent video systems and analytics: A survey," IEEE Transactions on Industrial Informatics, vol. 9, no. 3, pp. 1222-1233, 2013.   DOI
3 A. S. Voulodimos, C. Z. Patrikakis, A. B. Sideridis, V. A. Ntafis, and E. M. Xylouri, "A complete farm management system based on animal identification using RFID technology," Computers and Electronics in Agriculture, vol. 2, no. 70, pp. 380-388, 2010.
4 S. Jegadeesan, G. K. D. Prasanna, and Venkatesan, "Smart cow health monitoring, farm environmental monitoring and control system using wireless sensor networks," International Journal of Advanced Engineering Technology, vol. 7, no. 1, pp. 334-339, 2016.
5 R. Bharath, X. Cheng, and T. H. Lee, "Shape classification using invariant features and contextual information in the bag-of-words model," Pattern Recognition, vol. 48, no. 3, pp. 894-906, 2015.   DOI
6 O. Barnich, and M. V. Droogenbroeck, "ViBe: A universal background subtraction algorithm for video sequences," IEEE Transactions on Image processing, vol. 20, no. 6, pp. 1709-1724, 2011.   DOI
7 D. Mukherjee, Q. M. J. Wu, and T. M. Nguyen, "Multiresolution based gaussian mixture model for background suppression," IEEE Transactions on Image Processing, vol. 22, no. 12, pp. 5022-5035, 2013.   DOI
8 Z. K. Ku, C. F. Ng, and S. W. Khor, "Shape-based recognition and classification for common objects-an application in video scene analysis," ICCET, Vol. 3, pp. 13-16, 2010.
9 J. W. Hsieh, L. C. Chen, S. Y. Chen, D. Y. Chen, S. Alghyaline, and H. F. Chiang, "Vehicle color classification under different lighting conditions through color correction," IEEE Sensors Journal, vol. 15, no. 2, pp. 971-983, 2015.   DOI
10 S. V.-U. Ha, L. H. Pham, H. M. Tran, and P. H. Thanh, "Improved vehciles detection & classification algorithm for traffic surveillance system," Journal of Information Assurance and Security, vol. 9, no. 5, pp. 268-277, 2014.
11 Z. Wang, and D. Zhang, "Progressive switching median filter for the removal of impulse noise from highly corrupted images," IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, vol. 46, no. 1, pp. 78-80, 1999.
12 G. Meng, S. Xiang, N. Zheng and C. Pan, “Nonparametric illumination correction for scanned document images via convex hulls,” IEEE transactions on pattern analysis and machine intelligence, Vol. 35, No. 7, pp. 1730-1743, 2013.   DOI
13 J. S. Kim, D. H. Yeom, J. B. Park, and Y. H. Joo, "Intelligent unmanned anti-theft system using network camera", International Journal of Control, Automation, and Systems, Vol. 8, No. 5, pp. 967-974, 2010, 10.   DOI
14 N. A. Ibraheem, M. M. Hasan, R. Z. Khan, and P. K. Mishra, "Understanding color models: a review," ARPN Journal of Science and Technology, vol. 2, no. 3, pp. 265-275, 2012.
15 B. G. Hu, "What are the differences between Bayesian classifiers and mutual-information classifiers?," IEEE transactions on neural networks and learning systems, vol. 25, no. 2, pp.249-264, 2014.   DOI
16 X. Li, K. Wang, W. Wang, and Y. Li, "A multiple object tracking method using Kalman filter," IEEE International Conference on Information and Automation, pp. 1862-1866, 2010.
17 J. S. Kim, D. S. Yeom and Y. H. Joo, "Fast and robust algorithm for tracking multiple moving objects for intelligent video surveillance systems," IEEE Transaction on Consumer Electronics, vol. 57, no. 3, pp. 1165-1170, 2011.   DOI
18 J. S. Lee and Y. H. Joo, "Detection using optical flow and EMD algorithm and tracking using Kalman filter of moving objects", The transactions of The Korean Institute of Electrical Engineers, Vol. 64, No. 7, pp. 1047-1055, 2015   DOI
19 J. G. Kim and Y. H. Joo, "Visual multi-touch air interface for barehanded users by skeleton models of hand regions," International Journal of Control, Automation and Systems, Vol. 11, No. 1, pp. 84-91, 2013.   DOI
20 S. K. Kim, Y. H. Joo, "Visual touch recognition for NUI using Voronoi-Tessellation Algorithm", The Transactions of the Korean Institute of Electrical Engineers, Vol. 64, No. 3, pp. 465-472, 2015, 3.   DOI
21 D. H. Yeom, Y. H. Joo, and J. B. Park, "Selection of coefficient for equalizer on optical sisc drive by golden search", IEEE Transactions on Consumer Electronics, Vol. 56, No. 2, pp. 657-662, 2010, 05.   DOI