An Early Fire Detection Algorithm Using IP Cameras

Sensors

Leonardo Millan-Garcia¹  Gabriel Sanchez-Perez¹  Mariko Nakano¹  Karina Toscano-Medina¹  Hector Perez-Meana¹ 

[1] Graduate School, ESIME-Culhuacan, National Polytechnic Institute, Av. Santa Ana no. 1000, Col. San Francisco Culhuacan, Mexico D.F., 04430, Mexico; E-Mails:

关键词: early fire detection;    smoke detection;    DCT;    DCT inter-transformation;    video surveillance;    IP camera;   

DOI  :  10.3390/s120505670

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.