Flame detection system based on wavelet analysis of PIR sensor signals with an HMM decision mechanism
Date
2008-08
Editor(s)
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
16th European Signal Processing Conference, 2008
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
1 - 5
Language
English
Type
Journal Title
Journal ISSN
Volume Title
Attention Stats
Usage Stats
2
views
views
10
downloads
downloads
Series
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. copyright by EURASIP.