TY - JOUR
T1 - An early fire detection algorithm using IP cameras
AU - Millan-Garcia, Leonardo
AU - Sanchez-Perez, Gabriel
AU - Nakano, Mariko
AU - Toscano-Medina, Karina
AU - Perez-Meana, Hector
AU - Rojas-Cardenas, Luis
PY - 2012/5
Y1 - 2012/5
N2 - 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.
AB - 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.
KW - DCT
KW - DCT inter-transformation
KW - Early fire detection
KW - IP camera
KW - Smoke detection
KW - Video surveillance
UR - http://www.scopus.com/inward/record.url?scp=84861557946&partnerID=8YFLogxK
U2 - 10.3390/s120505670
DO - 10.3390/s120505670
M3 - Artículo
C2 - 22778607
SN - 1424-8220
VL - 12
SP - 5670
EP - 5686
JO - Sensors (Switzerland)
JF - Sensors (Switzerland)
IS - 5
ER -