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Sensors 2012, 12(5), 5670-5686; doi:10.3390/s120505670

An Early Fire Detection Algorithm Using IP Cameras

Graduate School, ESIME-Culhuacan, National Polytechnic Institute, Av. Santa Ana no. 1000, Col. San Francisco Culhuacan, Mexico D.F., 04430, Mexico
Electric Engineering Department, Metropolitan Autonomous University, Iztapalapa Campus, Mexico D.F., 09340, Mexico
Author to whom correspondence should be addressed.
Received: 29 February 2012 / Revised: 19 April 2012 / Accepted: 28 April 2012 / Published: 3 May 2012
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The presence of smoke is the first symptom of fire; therefore to achieve early fire detection, accurate and quick estimation of the presence of smoke is very important. In this paper we propose an algorithm to detect the presence of smoke using video sequences captured by Internet Protocol (IP) cameras, in which important features of smoke, such as color, motion and growth properties are employed. For an efficient smoke detection in the IP camera platform, a detection algorithm must operate directly in the Discrete Cosine Transform (DCT) domain to reduce computational cost, avoiding a complete decoding process required for algorithms that operate in spatial domain. In the proposed algorithm the DCT Inter-transformation technique is used to increase the detection accuracy without inverse DCT operation. In the proposed scheme, firstly the candidate smoke regions are estimated using motion and color smoke properties; next using morphological operations the noise is reduced. Finally the growth properties of the candidate smoke regions are furthermore analyzed through time using the connected component labeling technique. Evaluation results show that a feasible smoke detection method with false negative and false positive error rates approximately equal to 4% and 2%, respectively, is obtained.
Keywords: early fire detection; smoke detection; DCT; DCT inter-transformation; video surveillance; IP camera early fire detection; smoke detection; DCT; DCT inter-transformation; video surveillance; IP camera
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Millan-Garcia, L.; Sanchez-Perez, G.; Nakano, M.; Toscano-Medina, K.; Perez-Meana, H.; Rojas-Cardenas, L. An Early Fire Detection Algorithm Using IP Cameras. Sensors 2012, 12, 5670-5686.

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