Abstract
Flickering is the most explicit visual characteristic of flames. Flames flicker in height, size and in brightness. Video based flame detection algorithms often analyze flickering of pixel intensities over time to detect flames. In this study we investigate five different pixel intensity flickering features based on methods presented in previous work. We compare the classification rates that features achieve on a large video database containing flames and non-flame objects. We depict differences of the features to each other and explain how these differences affect the classification rates. We point out components that should be considered for the design of flickering features.
Original language | English |
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Pages (from-to) | 1-7 |
Number of pages | 7 |
Journal | Fire Safety Journal |
Volume | 66 |
DOIs | |
State | Published - May 2014 |
Keywords
- Feature comparison
- Flames
- Flickering analysis
- Video fire detection