Next Article in Journal
Using the Standard Deviation of a Region of Interest in an Image to Estimate Camera to Emitter Distance
Next Article in Special Issue
Automatic Construction of 3D Basic-Semantic Models of Inhabited Interiors Using Laser Scanners and RFID Sensors
Previous Article in Journal
Time-Domain Fluorescence Lifetime Imaging Techniques Suitable for Solid-State Imaging Sensor Arrays
Previous Article in Special Issue
Personalized Health Care System with Virtual Reality Rehabilitation and Appropriate Information for Seniors
Sensors 2012, 12(5), 5670-5686; doi:10.3390/s120505670

An Early Fire Detection Algorithm Using IP Cameras

1,* , 1
1 Graduate School, ESIME-Culhuacan, National Polytechnic Institute, Av. Santa Ana no. 1000, Col. San Francisco Culhuacan, Mexico D.F., 04430, Mexico 2 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
View Full-Text   |   Download PDF [958 KB, uploaded 21 June 2014]   |  


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).

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
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.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert