Hybrid Approach to Detect a Fire based on Motion Color and Edge
Abstract
Keywords
Full Text:
PDFReferences
B.C. Ko, K.H. Chong, J.Y. Nam, “Fire Detection based on vision sensor and support vector services,” Fire Safety Journal, vol. 44, pp. 322–329, 2009.
Fire and Gas Protection Systems Part 3, PETRONAS Fire and Gas Protection Systems, 2009.
D.P. Nolan, Handbook of Fire and Explosion Protection Engineering Principles for Oil, Gas, Chemical, and Related Facilities, New Jersey, Noyes Publication,1996, pp.46-47.
D. Han, Byoungmoo Lee, “Flame and Smoke Detection method for early real-time detection of a tunnel fire” Fire Safety Journal, vol. 44, pp. 951-961, 2009.
B. Ugur Toreyin, Yigithan Dedeoglu , Ugur Gudukbay, A. Enis etin, “Computer vision based method for real-time fire and flame detection”, science direct journal, doi:10.1016/j.patrec.2005.06.015
Ishita Chakraborty, Tanoy Kr. Paul, “A Hybrid Clustering Algorithm for Fire Detection in Video and Analysis with Color based Thresholding Method”, 2010 International Conference on Advances in Computer Engineering, DOI 10.1109/ACE.2010.12
T. Celik, H. Demirel, H. Ozkaramanli, M. Uyguroglu, “Fire Detection In Video Sequences Using Statistical Color Model”, ICASSP 2006, pp 213-216.
Magy Kandil, May Salama, “A New Hybrid Algorithm for Fire Vision Recognition”, IEEE journal, 2009, pp 1460-1466.
Shaik Rasool, Dr. P. Pandarinath, “An Auto adaptive Edge-Detection Algorithm for Flame and Fire Image Processing ”, International Journal of Computer & Organization Trends –Volume 3 Issue 11 – Dec 2013, ISSN: 2249-2593.
Thou-Ho (Chao-Ho) Chen, Cheng-Liang Kao and Sju-Mo Chang, “An Intelligent Real-Time Fire-Detection Method Based on Video Processing”, IEEE journal, 2003, pp 104-111.
Pedro Santana, Pedro Gomes, and Jos´e Barata, “A vision-based system for early fire detection”, 2012 IEEE International Conference on Systems, Man, and Cybernetics October 14-17, 2012, COEX, Seoul, Korea.
Thou-Ho (Chao-Ho) Chen, Yen-Hui Yin, Shi-Feng Huang and Yan-Ting Ye, “The Smoke Detection for Early Fire-Alarming System Base on Video Processing”, Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06) 0-7695-2745.
Pasquale Foggia, Alessia Saggese, and Mario Vento, “Real-Time Fire Detection for Video-Surveillance Applications Using a Combination of Experts Based on Color, Shape, and Motion ”, IEEE TRANSACTIONS on circuits and systems for video technology, vol. 25, no. 9, september 2015, pp 1545-56.
Yoon-Ho Kim, Alla Kim and Hwa-Young Jeong, “RGB Color Model Based the Fire Detection Algorithm in Video Sequences on Wireless Sensor Network”, Hindawi Publishing Corporation International Journal of Distributed Sensor Networks. Volume 2014, Article ID 923609, 10 pages http://dx.doi.org/10.1155/2014/923609
A. Rafiee, R. Tavakoli, R. Dianat, S. Abbaspour, and M. Jamshidi, “Fire and smoke detection using wavelet analysis and disorder characteristics,” in Proc. 3rd Int. Conf. Comput. Res. Develop. (ICCRD), vol. 3. Mar. 2011, pp. 262–265.
Yusuf Hakan Habiboglu, Osman Günay, and A. Enis Çetin, “Covariance matrix-based fire and flame detection method in video,” Mach. Vis. Appl., vol. 23, no. 6, pp. 1103–1113, Nov. 2012.
Thou.-Ho Chen, Ping.-Hsueh Wu, and Yung.-Chuen Chiou, “An early fire-detection method based on image processing,” in Proc. Int. Conf. Image Process. (ICIP), vol. 3. Oct. 2004, pp. 1707–1710
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.