Video Fire Detection - Review
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Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
Academic Press inc Elsevier Science
Open Access Color
BRONZE
Green Open Access
Yes
OpenAIRE Downloads
0
OpenAIRE Views
1
Publicly Funded
No
Abstract
This is a review article describing the recent developments in Video based Fire Detection (VFD). Video surveillance cameras and computer vision methods are widely used in many security applications. It is also possible to use security cameras and special purpose infrared surveillance cameras for fire detection. This requires intelligent video processing techniques for detection and analysis of uncontrolled fire behavior. VFD may help reduce the detection time compared to the currently available sensors in both indoors and outdoors because cameras can monitor "volumes" and do not have transport delay that the traditional "point" sensors suffer from. It is possible to cover an area of 100 km(2) using a single pan-tilt-zoom camera placed on a hilltop for wildfire detection. Another benefit of the VFD systems is that they can provide crucial information about the size and growth of the fire, direction of smoke propagation. (c) 2013 Elsevier Inc. All rights reserved.
Description
Dimitropoulos, Kosmas/0000-0003-1584-7047; Toreyin, Behcet Ugur/0000-0003-4406-2783; Grammalidis, Nikos/0000-0001-8465-6258
Keywords
Video Based Fire Detection, Computer Vision, Smoke Detection, Wavelets, Covariance Matrices, Decision Fusion, Covariance matrices, Fire detection, Sensors, Computer Vision, Covariance matrix, Smoke detection, Video based fire detection, Wavelets, Video Based Fire Detection, Cameras, Fire detectors, 004, Wavelets Covariance Matrices, Video signal processing, Decision Fusion, Security systems, Computer vision, Decision fusion, Smoke Detection
Fields of Science
02 engineering and technology, 0201 civil engineering, 0202 electrical engineering, electronic engineering, information engineering
Citation
Çetin, A.E...et al. (2013). Video fire detection - Review. Digital Signal Processing, 23(6), 1827-1843. http://dx.doi.org/10.1016/j.dsp.2013.07.003
WoS Q
Q2
Scopus Q
Q2

OpenCitations Citation Count
236
Source
Digital Signal Processing
Volume
23
Issue
6
Start Page
1827
End Page
1843
PlumX Metrics
Citations
CrossRef : 58
Scopus : 269
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Mendeley Readers : 230
SCOPUS™ Citations
284
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Web of Science™ Citations
217
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Page Views
2
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