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Rim, Kyong Chol
- An Improved Surveillance System Architecture Based on Flame Detection in Cctvs
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Authors
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1 Institute of Information Science, Kim Il Sung University, Pyongyang, KP
1 Institute of Information Science, Kim Il Sung University, Pyongyang, KP
Source
ICTACT Journal on Image and Video Processing, Vol 9, No 1 (2018), Pagination: 1857-1860Abstract
CCTV is an important part of the surveillance systems. While a person observes the screens with the naked eye in existing CCTV monitoring systems, it is possible that the flame and events are not detected opportunely due to eye fatigue and human carelessness. In this paper, we propose a real-time flame detection method and design architecture of surveillance system to achieve early fire detection. When flame is detected, this system displays the video sequence from the corresponding camera channel on the whole screen with the alarm signal.Keywords
Surveillance System, Flame Detection, CCTV.References
- Chunyu Yu, Zhibin Mei and Xi Zhang, “A Real-Time Video Fire Flame and Smoke Detection Algorithm”, Procedia Engineering, Vol. 62, pp. 891-898, 2013.
- V. Vipin, “Image Processing Based Forest Fire Detection”, International Journal of Emerging Technology and Advanced Engineering, Vol. 2, No. 2, pp. 87-95, 2012.
- A.D. Patil, K.R. Kuwar, M.S. More, P.A. Pagar and S.D. Somawanshi, “Advance Algorithm for Fire Detection using Image Processing and Color Recognition”, Proceedings of International Conference on Wireless Communication and Android Apps, pp. 9-14, 2015.
- R.A. Agrawal and S.T. Khandare, “Fire Detection Using Image Processing”, International Journal of Advanced Engineering and Global Technology, Vol. 3, No. 2, pp. 1499-1503, 2015.
- S. Verstockt, B. Merci, P. Lambert, R. Van De Walle and B. Sette, “State of the Art in Vision-based Fire and Smoke Detection”, Proceedings of 14th International Conference on Automatic Fire Detection, pp. 285-292, 2009.
- Kumarguru Poobalan and Siau-Chuin Liew, “Fire Detection Algorithm using Image Processing Techniques”, Proceedings of 3rd International Conference on Artificial Intelligence and Computer Science, pp. 160-168, 2015.
- Leonardo Millan-Garcia, Gabriel Sanchez-Perez, Mariko Nakano, Karina Toscano-Medina, Hector Perez-Meana and Luis Rojas-Cardenas, “An Early Fire Detection Algorithm Using IP Cameras”, Sensors, Vol. 12, pp. 5670-5686, 2012.
- Qi-xing Zhang, Gao-hua Lin, Yong-ming Zhang, Gao Xu and Jin-jun Wang, “Wildland Forest Fire Smoke Detection Based on Faster R-CNN using Synthetic Smoke Images”, Procedia Engineering, Vol. 211, pp. 441-446, 2018.
- Khan Muhammad, Jamil Ahmad and Sung Wook Baik, “Early Fire Detection using Convolutional Neural Networks during Surveillance for Effective Disaster Management”, Neurocomputing, Vol. 288, pp. 30-42, 2018.
- Wentao Mao, Wenpeng Wang, Zhi Dou and Yuan Li, “Fire Recognition Based On Multi-Channel Convolutional Neural Network”, Fire Technology, Vol. 54, No. 2, pp. 531-554, 2018.
- A Method of Multi-Channel Data Reception and Processing Noise for Short Distance Detection Doppler Radar
Abstract Views :376 |
PDF Views:0
Authors
Affiliations
1 Institute of Information Science, Kim Il Sung University, D.P.R. of Korea, KP
1 Institute of Information Science, Kim Il Sung University, D.P.R. of Korea, KP
Source
ICTACT Journal on Microelectronics, Vol 4, No 2 (2018), Pagination: 608-612Abstract
In short distance detection Doppler radar signal processing, the communication and processing problems of various measurement and control signals such as mass data which are high speed A/D converted intermediate frequency signals of transmission and reception terminals and azimuth angle, altitude are suggested. In this paper we suggest one method for time sharing data communication and noise processing by determining threshold by using the transmission line of limited bits in connection of analog circuits consisting of electromagnetic transmission and reception antenna and various control, measuring circuits and FPGA+DSP type digital signal processing circuits and showed experiment results.Keywords
Doppler, DSP+FPGA, Digital Signal Processing System.References
- Fan Xikun et al., “Real-Time Implementation of Airborne Radar Space-Time Adaptive Processing on Multi-DSP System”, Proceedings of IEEE Conference on Radar, pp. 481-486, 2006.
- P. Lacomme, J.C. Marchais, J.P. Hardange and E. Normant, “Air and Spaceborne Radar Systems: An Introduction”, William Andrew Publishing, 2001.
- G.W. Stimson, “Introduction to Airborne Radar”, Sci Tech Publishing, 1998.
- TMS320C6000 User’s Guide, Available at: http://www.ti.com/lit/ug/spru303b/spru303b.pdf.
- V.C. Chen and H. Ling, “Time-Frequency Transforms for Radar Imaging and Signal Analysis”, Artech House, 2002
- W. Wu, J. Wang, W. Li and W. Zhang, “Design Methods of Multi-DSP Parallel Processing System”, Proceedings of IEEE World Congress on Computer Science and Information Engineering, Vol. 3, No. 1, pp. 458-464, 2009.
- K.C. Gryllias and I.A. Antoniadis, “Estimation of the Instantaneous Rotation Speed using Complex Shifted Morlet Wavelets”, Mechanical Systems and Signal Processing, Vol. 38, No. 1, pp. 78-95, 2013.
- K.W. Forsythe and D.W. Bliss, “Waveform Correlation and Optimization Issues for MIMO Radar”, Proceedings of 39th Asilomar Conference on Signals, Systems and Computers, pp. 1306-1310, 2005.
- S.M. Kay, “Fundamentals of Statistical Signal Processing: Estimation Theory”, Prentice Hall, 1993.
- X. Hong, W. Jun and Z. Yuxi, “Parallel Implementation of High Resolution Radar Signal Processing System based on Multi-IC Architecture”, Proceedings of IEEE Conference on Radar, pp. 812-815, 2013.
- H. Zhang, H.Q. Liusuhua and Y. Haiguang, “The Design for LVDS High speed Data Acquisition and Transmission System based on FPGA”, Proceedings of IEEE Conference on Radar, pp. 383-386, 2011.
- Yuan Changshun et al., “A Novel Design of Parallel and High-Speed Signal Processor Architecture for PD Radar”, Proceedings of IEEE Conference on Radar, pp. 551-556, 2013.
- M. Li et al., “Research on Parallel Debugger in Bus-Based Multi-DSP System in Radar Data Processing”, Proceedings of IEEE Conference on Radar, pp. 236-241, 2013.
- J. Li and P. Stoica, “MIMO Radar Signal Processing”, John Wiley and Sons, 2009.
- W. Li, H. Zhang, H.P. Hildre and J. Wang, “An FPGA-based Real-Time UAV SAR Raw Signal Simulator”, IEICE Electronics Express, Vol. 11, No. 11, pp. 1-13, 2014.
- E.N. Ganesh and V. Krishnan, “Study and Implementation of MUX based FPGA in QCA Technology”, International Journal of Distributed and Parallel Systems, Vol. 2, No. 3, pp. 51-61, 2011.
- I.A. Antoniadis, C.T. Yiakopoulos, K.C. Gryllias and K.I. Rodopoulos, “IFESIS: Instantaneous Frequencies Estimation via Subspace Invariance Properties of Wavelet Structures”, Mechanical Systems and Signal Processing, Vol. 49, No. 1-2, pp. 264-284, 2014.
- T.A. Nguyen, E.H. Chan and R.A. Minasian, “Instantaneous High-Resolution Multiple-Frequency Measurement System based on Frequency-to-Time Mapping Technique”, Optics letters, Vol. 39, No. 8, pp. 2419-2422, 2014.
- Y. Wang and B. Zhao, “Inverse Synthetic Aperture Radar Imaging of Nonuniformly Rotating Target based on the Parameters Estimation of Multicomponent Quadratic Frequency-Modulated Signals”, IEEE Sensors Journal, Vol. 15, No. 7, pp. 4053-4061, 2015.
- K. Rodopoulos, C. Yiakopoulos and I. Antoniadis, “A Parametric Approach for the Estimation of the Instantaneous Speed of Rotating Machinery”, Mechanical Systems and Signal Processing, Vol. 44, No. 1-2, pp. 31-46, 2014.