Comparison of intensity flickering features for video based flame detection algorithms

Anton Stadler, Tjark Windisch, Klaus Diepold

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

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 languageEnglish
Pages (from-to)1-7
Number of pages7
JournalFire Safety Journal
Volume66
DOIs
StatePublished - May 2014

Keywords

  • Feature comparison
  • Flames
  • Flickering analysis
  • Video fire detection

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