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Real-time detection of fire flame in video scenes from a surveillance camera offers early warning to ensure prompt reaction to devastating fire hazards. Many existing fire detection methods based on computer vision technology have achieved high detection rates, but often with unacceptably high false-alarm rates. This paper presents a reliable visual analysis technique for fast fire flame detection...
This paper proposes a real-time fire detection algorithm for video surveillance. Firstly, candidate fire regions (CFRs) are detected using modified conventional methods, that is, the detection of moving regions and fire-colored pixels. In order to avoid false alarms, effective color and shape-based features are extracted from CFRs. Then, the set of features are fed into the logistic regression to...
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