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Early Recognition of Smoke in Digital Video
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management. (Datavetenskap)
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management. (Datavetenskap)ORCID iD: 0000-0003-0085-5829
2010 (English)In: Advances in Communications, Computers, Systems, Circuits and Devices: European Conference of Systems, ECS'10, European Conference of Circuits Technology and Devices, ECCTD'10, European Conference of Communications, ECCOM'10, ECCS'10 / [ed] Mladenov, V; Psarris, K; Mastorakis, N; Caballero, A; Vachtsevanos, G, Athens: World Scientific and Engineering Academy and Society, 2010, 301-306 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a method for direct smoke detection from video without enhancement pre-processing steps. Smoke is characterized by transparency, gray color and irregularities in motion, which are hard to describe with the basic image features. A method for robust smoke description using a color balancing algorithm and turbulence calculation is presented in this work. Background extraction is used as a first step in processing. All moving objects are candidates for smoke. We make use of Gray World algorithm and compare the results with the original video sequence in order to extract image features within some particular gray scale interval. As a last step we calculate shape complexity of turbulent phenomena and apply it to the incoming video stream. As a result we extract only smoke from the video. Features such shadows, illumination changes and people will not be mistaken for smoke by the algorithm. This method gives an early indication of smoke in the observed scene.

Place, publisher, year, edition, pages
Athens: World Scientific and Engineering Academy and Society, 2010. 301-306 p.
Keyword [en]
Color, Descriptors, Smoke detection, Video
National Category
Computer Science Computer Vision and Robotics (Autonomous Systems) Computer Engineering
Identifiers
URN: urn:nbn:se:hig:diva-12954ISI: 000290650000055Scopus ID: 2-s2.0-79959883988ISBN: 978-960-474-250-9 (print)OAI: oai:DiVA.org:hig-12954DiVA: diva2:553269
Conference
European Conference in Computer Science (ECCS'10), 30 November-2 December 2010 Puerto De La Cruz, Tenerife, Spain
Available from: 2012-09-18 Created: 2012-09-18 Last updated: 2016-07-05Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • ieee
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Language
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