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Fire and smoke detection using wavelet analysis and disorder characteristics
Islamic Azad University, Kazeroun Branch, Kazeroun, Iran .
Persian Gulf University, Bushehr, Iran.
slamic Azad University, Kazeroun Branch, Kazeroun, Iran.
Islamic Azad University, Bushehr Branch, Bushehr, Iran.
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2011 (English)In: ICCRD2011 - 2011 3rd International Conference on Computer Research and Development, vol 3, 2011, 2011, p. 262-265Conference paper, Published paper (Refereed)
Abstract [en]

Fire and smoke monitoring systems are useful in different industry such as military, social security and economical. The recent methods for fire and smoke detection are used only motion and color characteristics thus many wrong alarms are happening and this is decrease the performance of the systems. This research presents a new method for fire and smoke detection through image processing. In this algorithm all objects in an image is considered and then check them to figure out which objects are smoke and fire. The color, motion and disorder are useful characteristics in fire and smoke detection algorithm. Smoke of fire will blur the whole or part of the images. Thus by processing of the video frames, different objects will detect. Due to evaluate the features of objects, the goal objects (fire and smoke) can be defined easily. Two-dimensional wavelet analysis is used in the presented method. The results of this research present the proposed features that can reduce the wrong alarms and increase the system performances.

Place, publisher, year, edition, pages
2011. p. 262-265
Keywords [en]
Fire and smoke detection, Wavelet analysis, Disorder features, Color and motion features
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-22255DOI: 10.1109/ICCRD.2011.5764295Scopus ID: 2-s2.0-79957538287ISBN: 978-1-61284-839-6 (print)OAI: oai:DiVA.org:mdh-22255DiVA, id: diva2:661394
Conference
2011 3rd International Conference on Computer Research and Development, ICCRD 2011; Shanghai; China; 11 March 2011 through 15 March 2011
Available from: 2013-11-03 Created: 2013-10-31 Last updated: 2015-01-14Bibliographically approved

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Abbaspour, Sara

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf