Early fire and smoke detection based on colour features and motion analysis.

Pietro Morerio,Lucio Marcenaro,Carlo S. Regazzoni,Gianluca Gera

ICIP（2012）

引用 53|浏览6

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摘要

This work addresses the issue of fire and smoke detection in a scene within a video surveillance framework. Detection of fire and smoke pixels is at first achieved by means of a motion detection algorithm. In addition, separation of smoke and fire pixels using colour information (within appropriate spaces, specifically chosen in order to enhance specific chromatic features) is performed. In parallel, a pixel selection based on the dynamics of the area is carried out in order to reduce false detection. The output of the three parallel algorithms are eventually fused by means of a MLP.

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关键词

fires,image colour analysis,image enhancement,image motion analysis,image resolution,multilayer perceptrons,object detection,parallel algorithms,video surveillance,MLP,colour features,colour information,early fire detection,early smoke detection,false detection reduction,fire pixel separation,motion analysis,motion detection algorithm,multilayers perceptron,parallel algorithms,pixel selection,smoke pixel separation,video surveillance framework,Colour Space,Entropy Estimation,Fire Detection,Multi-Layers Perceptron,Smoke Detection

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