MATEC Web Conf.
Volume 125, 201721st International Conference on Circuits, Systems, Communications and Computers (CSCC 2017)
|Number of page(s)||5|
|Published online||04 October 2017|
- T. Chen, P. Wu, and Y. Chiou, “An Early Fire-Detection Method Based on Image Processing,” Proc. IEEE Int. Image Process., (2004), pp. 1707–1710. [Google Scholar]
- B.U. Toreyin, Y. Dedeoglu, and A.E. Cetin, “Flame Detection in Video Using Hidden Markov Models,” Proc. IEEE Int. Conf. Image Process., (2005), pp. 1230–1233, 2005. [Google Scholar]
- W. Krüll et al., “Design and Test Methods for aVideo-Based Cargo Fire Verification System for Commercial Aircraft,” Fire Safety J., 41, no. 4, (2006), pp. 290–300. [CrossRef] [Google Scholar]
- T. Celik, “Fast and Efficient Method for FireDetection Using Image Processing,” ETRI Journal, 32, no. 6, (Dec. 2010), pp. 881–890. [CrossRef] [Google Scholar]
- L. Zhigang, G. Hadjisophocleous, G. Ding and Ch.S. Lim. Study of a Video Image Fire Detection System for Protection of Large Industrial Applications and Atria [online]. (cit. 2013–12–01). [Google Scholar]
- Poobalan, Kumarguru and Liew, Siau-Chuin. Fire Detection Algorithm using Image Processing Techniques. In: E-Proceeding of the 3rd International Conference on Artificial Intelligence and Computer Science (AICS2015), 12-13 (October 2015), BayView Hotel, Penang, Malaysia. pp. 160–168. ISBN 978-967-0792-06–4. [Google Scholar]
- Jiang, B., Lu, Y., Li, X. et al. Multimed Tools Appl(2015) 74: 689. doi:10.1007/s11042-014-2106–z. [CrossRef] [Google Scholar]
- A. E. Gunawaardena, R. M. M. Ruwanthika, A. G. B.P. Jayasekara, “Computer Vision Based Fire Alarming System”, in Proceedings of the 2nd International Moratuwa Engineering Research Conference (MERCon), pp. 325–330, Moratuwa, Sri Lanka, (April 2016). [Google Scholar]
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