Paper Info
Title
Video Smoke Detection Based on the Optical Properties.
Abstract
Video smoke detection has many advantages such as high response speed and non-contact detecting. But the current video detection methods are either complicated or less reliable. A suitable method for ordinary video smoke detection by analyzing optical properties of smoky images is presented in this paper. The factors of optical properties such as scene radiance, medium transmission, path-length and total scattering coefficient were studied. Different scene radiances represent different objects. Using scene radiance helps us to recognize the suspected area that almost doesn't change which may include those smoky areas. What' more, it is found that the total scattering coefficient would increase along with the growing number of particles in the atmosphere caused by smoke, and lead the medium transmission to decrease. The decision rule based on this finding aims to narrow down the suspected smoky region. The experiment results show that this method is effective and practical.
Year
DOI
Venue
2014
10.1007/978-3-662-45643-9_25
Communications in Computer and Information Science
Keywords
Field
DocType
smoking detection,optical properties,dark channel prior,video image
Decision rule,Particle number,Telecommunications,Scattering coefficient,Video detection,Computer science,Remote sensing,Smoke,Radiance
Conference
Volume
ISSN
Citations 
484
1865-0929
0
PageRank 
References 
Authors
0.34
3
2
Name
Order
Citations
PageRank
Yingjing Wu100.34
Ying Hu231228.67