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Summary: Vision Based Fire Detection
Che-Bin Liu and Narendra Ahuja
Beckman Institute
University of Illinois at Urbana-Champaign
Urbana, IL 61801
cbliu, ahuja @vision.ai.uiuc.edu
Abstract
Vision based fire detection is potentially a useful technique.
With the increase in the number of surveillance cameras
being installed, a vision based fire detection capability can
be incorporated in existing surveillance systems at rela-
tively low additional cost. Vision based fire detection of-
fers advantages over the traditional methods. It will thus
complement the existing devices. In this paper, we present
spectral, spatial and temporal models of fire regions in vi-
sual image sequences. The spectral model is represented
in terms of the color probability density of fire pixels. The
spatial model captures the spatial structure within a fire
region. The shape of a fire region is represented in terms
of the spatial frequency content of the region contour us-
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