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

Author

Ugur Toreyin, B. ; Birey Soyer, E. ; Urfalioglu, Onay ; Enis Cetin, A.

Author_Institution

Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey

fYear

2008

fDate

25-29 Aug. 2008

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

fires; flames; hidden Markov models; infrared detectors; object detection; wavelet transforms; HMM decision mechanism; PIR sensor signals; fire detection; flame detection system; flame flicker process; hidden Markov models; passive infrared sensor; pyroelectric infrared sensor; wavelet analysis; wavelet transform; Abstracts; Fires; Hidden Markov models; Integrated circuit modeling; Muscles; Wavelet packets;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2008 16th European

Conference_Location

Lausanne

ISSN

2219-5491

Type

conf

Filename

7080299