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Indoor video-based smoke detection
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
2011 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Traditional smoke detection methods need sensors close to the source of the smoke. In order to avoid this disadvantage, this thesis presents a method for indoor video based smoke detection. In addition, it helps to improve the success rate of detection, as well as reducing the false detection rate of suspected smoke. This method consists of two parts. First, we create a Gaussian mixture model to detect smoke color pixels. Then, we use the smoke’s dynamic features to detect the smoke area and extract it from the area found in the first step, and in that way we can find the real smoke area. Our results show that this method can detect the smoke even before the flame appears. This will provide earlier warnings of fire, thus reducing economic losses and casualties.

Place, publisher, year, edition, pages
2011. , 25 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:hig:diva-9573OAI: oai:DiVA.org:hig-9573DiVA: diva2:425107
Subject / course
Computer science
Educational program
Computer science
Uppsok
Technology
Supervisors
Examiners
Available from: 2011-06-23 Created: 2011-06-20 Last updated: 2011-06-23Bibliographically approved

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fulltext(623 kB)660 downloads
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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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