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

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4 Author(s)
Pietro Morerio ; Department of Biophysical and Electronic Engineering, University of Genoa - Italy ; Lucio Marcenaro ; Carlo S. Regazzoni ; Gianluca Gera

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.

Published in:

2012 19th IEEE International Conference on Image Processing

Date of Conference:

Sept. 30 2012-Oct. 3 2012