Comparison of Different Methods Used for Fire Detection
Jesny Antony, Federal Institute of Science and Technology, Angamaly; Prasad J.C. ,Federal Institute of Science and Technology, Angamaly
Fire detection, Multi-Expert Systems, motion based methods, color based methods.
Fire Detection system plays an important role in surveillance and security systems. Fire detection systems are primarily designed to warn occupants of fire so that they may safely evacuate the premises. Correctly maintained and operating systems are effective and proven life saving devices. The available methods are based on mainly color and motion based methods, which detects fire using the color and motion features of fire. We can also use several classifiers to classify the fire pixels from non-fire pixels. The combination of several classifiers for the training process will give high performance. The system which uses the complementary information, based on color, shape variation, and motion analysis, will give better recognition compared to other methods.
-
[1] T. Celik, H. Demirel, H. Ozkaramanli, and M. Uyguroglu, “Fire detection using statistical color model in video sequences", J. Vis. Commun. Image Represent., vol. 18, no. 2, pp. 176185, Apr. 2007.
[2] Y.-H. Kim, A. Kim, and H.-Y. Jeong, “RGB color model based the fire detection algorithm in video sequences on wireless sensor network", J. Distrib. Sensor Netw., vol. 2014, Apr. 2014, Art. ID 923609.
[3] T. elik and H. Demirel, “Fire detection in video sequences using a generic color model", Fire Safety J., vol. 44, no. 2, pp. 147158, Feb. 2009.
[4] T. elik, H. Ozkaramanli, and H. Demirel, “Fire pixel classification using fuzzy logic and statistical color model", in Proc. IEEE Int. Conf. Acoust., Speech Signal Process (ICASSP), vol. 1. Apr. 2007, pp. I-1205I-1208.
[5] Y. Habiboglu, O. Gnay, and A. E. etin, “Covariance matrix-based fire and flame detection method in video", Mach. Vis. Appl., vol. 23, no. 6, pp. 11031113, Nov. 2012.
[6] B. C. Ko, K.-H. Cheong, and J.-Y. Nam, “\Fire detection based on vision sensor and support vector machines", Fire Safety J., vol. 44, no. 3, pp. 322329, Apr. 2009.
[7] C. Yu, Z. Mei, and X. Zhang, “A real-time video fire flame and smoke detection algorithm", Proc. Eng., vol. 62, pp. 891898, 2013.
[8] X. Qi and J. Ebert, “A computer vision based method for fire detection in color videos", Int. J. Imag., vol. 2, no. S09, pp. 2234, 2009.
[9] A. Rahman and M. Murshed, ”Detection of multiple dynamic textures using feature space mapping", IEEE Trans. Circuits Syst. Video Technol., vol. 19, no. 5, pp. 766771, May 2009.
[10] B. U. Treyin, Y. Dedeoglu, U. Gdkbay, and A. E. etin, “Computer vision based method for real-time fire and flame detection", Pattern Recognit. Lett., vol. 27, no. 1, pp. 4958, Jan. 2006.
[11] 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.
Paper ID: GRDJEV01I090077
Published in: Volume : 1, Issue : 9
Publication Date: 2016-09-01
Page(s): 46 - 50
Published in: Volume : 1, Issue : 9
Publication Date: 2016-09-01
Page(s): 46 - 50