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Nighttime FireSmoke Detection System Based on a Support Vector Machine
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-12
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Currently, video surveillance-based early fire smoke detection is crucial to the prevention of large fires and the protection of life and goods.
To overcome the nighttime limitations of video smoke detection methods, a laser light can be projected into the monitored field of view, and the returning projected light section image can be analyzed to detect fire and/or smoke.
If smoke appears within the monitoring zone created from the diffusion or scattering of light in the projected path, the camera sensor receives a corresponding signal.
The successive processing steps of the proposed real-time algorithm use the spectral, diffusing, and scattering characteristics of the smoke-filled regions in the image sequences to register the position of possible smoke in a video.
Characterization of smoke is carried out by a nonlinear classification method using a support vector machine, and this is applied to identify the potential fire/smoke location.
Experimental results in a variety of nighttime conditions demonstrate that the proposed fire/smoke detection method can successfully and reliably detect fires by identifying the location of smoke.
American Psychological Association (APA)
Ho, Chao-Ching. 2013. Nighttime FireSmoke Detection System Based on a Support Vector Machine. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1009365
Modern Language Association (MLA)
Ho, Chao-Ching. Nighttime FireSmoke Detection System Based on a Support Vector Machine. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1009365
American Medical Association (AMA)
Ho, Chao-Ching. Nighttime FireSmoke Detection System Based on a Support Vector Machine. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1009365
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009365