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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
Impulse
Top 1%
Influence
Top 1%
Popularity
Top 1%

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Journal Issue

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
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OpenCitations Citation Count
236

Source

Digital Signal Processing

Volume

23

Issue

6

Start Page

1827

End Page

1843
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Citations

CrossRef : 58

Scopus : 269

Captures

Mendeley Readers : 230

SCOPUS™ Citations

284

checked on Feb 24, 2026

Web of Science™ Citations

217

checked on Feb 24, 2026

Page Views

2

checked on Feb 24, 2026

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41.24082638

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