Flame detection system based on wavelet analysis of PIR sensor signals with an HMM decision mechanism

B. Ug̃ur Töreyin*, E. Birey Soyer, Onay Urfaliog̃lu, A. Enis Çetin

*Bu çalışma için yazışmadan sorumlu yazar

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8 Atıf (Scopus)

Özet

In this paper, a flame detection system based on a pyroelectric (or passive) infrared (PIR) sensor is described. The flame detection system can be used for fire detection in large rooms. The flame flicker process of an uncontrolled fire and ordinary activity of human beings and other objects are modeled using a set of Hidden Markov Models (HMM), which are trained using the wavelet transform of the PIR sensor signal. Whenever there is an activity within the viewing range of the PIR sensor system, the sensor signal is analyzed in the wavelet domain and the wavelet signals are fed to a set of HMMs. A fire or no fire decision is made according to the HMM producing the highest probability. copyright by EURASIP.

Orijinal dilİngilizce
DergiEuropean Signal Processing Conference
Yayın durumuYayınlandı - 2008
Harici olarak yayınlandıEvet
Etkinlik16th European Signal Processing Conference, EUSIPCO 2008 - Lausanne, Switzerland
Süre: 25 Ağu 200829 Ağu 2008

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