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.
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Wu, Y., Hu, Y. (2014). Video Smoke Detection Based on the Optical Properties. In: Li, S., Liu, C., Wang, Y. (eds) Pattern Recognition. CCPR 2014. Communications in Computer and Information Science, vol 484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45643-9_25
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DOI: https://doi.org/10.1007/978-3-662-45643-9_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45642-2
Online ISBN: 978-3-662-45643-9
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