A Survey on Early Fire Alarming Using Smoke Detection
Keywords:
Smoke detection, Video processing, Feature ExtractionAbstract
Nowadays, fire accidents can result in disastrous personal injury and destructive damage which causes both economical and ecological damage. This paper presents a survey on smoke detection method for early fire-alarming system based on video processing. The fundamental approach of smoke-pixel judgment is composed of two decision rules. The first one is chromaticity based static decision rule and the second rule is diffusion based dynamic features decision rule. The first rule depends on the grayish color of smoke and dynamic rule is based on the spreading attributes of smoke. Experimental results show that the above two analysis provides lower rate of false alarm. These analyses are used in many of the applications like ships, tunnels and to identify the forest fires.
References
- Phillips Iii, Walter, Mubarak Shah, and Niels da Vitoria Lobo."Flame recognition in video." Pattern recognition letters 23.1-3 (2002): 319-327.
- Chen, Thou-Ho, Ping-Hsueh Wu, and Yung-ChuenChiou."An early fire-detection method based on image processing." Image Processing, 2004.ICIP'04.2004 International Conference on.Vol. 3.IEEE, 2004.
- Chen, Thou-Ho, et al. "The smoke detection for early fire-alarming system based on video processing." Intelligent Information Hiding and Multimedia Signal Processing, 2006. IIH-MSP'06. International Conference on.IEEE, 2006.
- Chen, Thou-Ho, Cheng-Liang Kao, and Sju-Mo Chang."An intelligent real-time fire-detection method based on video processing." Security Technology, 2003.Proceedings.IEEE 37th Annual 2003 International Carnahan Conference on.IEEE, 2003.
- Foggia, Pasquale, AlessiaSaggese, 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 25.9 (2015): 1545-1556.
- Yang, Ou."Moving object detecting method in video." IEEE Aerospace and Electronic Systems Magazine 23.1 (2008): 18-20.
- Healey, Glenn, et al. "A system for real-time fire detection." CVPR.Vol. 93. 1993.
- Surit, Surapong, and WatcharaChatwiriya."Forest fire smoke detection in video based on digital image processing approach with static and dynamic characteristic analysis." Computers, Networks, Systems and Industrial Engineering (CNSI), 2011 First ACIS/JNU International Conference on.IEEE, 2011.
- Bistrovic, Miroslav, JasminCelic, and DomagojKomorcec."Computer Vision Application for Early Stage Smoke Detection on Ships." Pomorskizbornik 52.1 (2016): 63-80.
- Noda, S., and K. Ueda."Fire detection in tunnels using an image processing method." Vehicle Navigation and Information Systems Conference, 1994.Proceedings., 1994. IEEE, 1994.
- Ha, Changwoo, GwanggilJeon, and JechangJeong."Vision-based smoke detection algorithm for early fire recognition in digital video recording system." Signal-Image Technology and Internet-Based Systems (SITIS), 2011 Seventh International Conference on.IEEE, 2011.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.