Wavelet based real-time smoke detection in video

Date
2005-09
Advisor
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Source Title
13th European Signal Processing Conference, EUSIPCO 2005
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
293 - 296
Language
English
Type
Conference Paper
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Abstract

A method for smoke detection in video is proposed. It is assumed the camera monitoring the scene is stationary. Since the smoke is semi-transparent, edges of image frames start loosing their sharpness and this leads to a decrease in the high frequency content of the image. To determine the smoke in the field of view of the camera, the background of the scene is estimated and decrease of high frequency energy of the scene is monitored using the spatial wavelet transforms of the current and the background images. Edges of the scene are especially important because they produce local extrema in the wavelet domain. A decrease in values of local extrema is also an indicator of smoke. In addition, scene becomes grayish when there is smoke and this leads to a decrease in chrominance values of pixels. Periodic behavior in smoke boundaries and convexity of smoke regions are also analyzed. All of these clues are combined to reach a final decision.

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Keywords
Background image, Field of views, Final decision, High frequency, Image frames, Local extremum, Periodic behavior, Semi-transparent, Smoke detection, Wavelet domain, Cameras, Smoke detectors, Wavelet analysis, Smoke
Citation
Published Version (Please cite this version)