1 Ocak 2009 Dergi makalesi Açık Erişim

Gunay, Osman; Tasdemir, Kasim; Toreyin, B. Ugur; Cetin, A. Enis

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/42017</identifier>
  <creators>
    <creator>
      <creatorName>Gunay, Osman</creatorName>
      <givenName>Osman</givenName>
      <familyName>Gunay</familyName>
      <affiliation>Bilkent Univ, Dept Elect &amp; Elect Engn, TR-06800 Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Tasdemir, Kasim</creatorName>
      <givenName>Kasim</givenName>
      <familyName>Tasdemir</familyName>
      <affiliation>Bilkent Univ, Dept Elect &amp; Elect Engn, TR-06800 Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Toreyin, B. Ugur</creatorName>
      <givenName>B. Ugur</givenName>
      <familyName>Toreyin</familyName>
      <affiliation>Bilkent Univ, Dept Elect &amp; Elect Engn, TR-06800 Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Cetin, A. Enis</creatorName>
      <givenName>A. Enis</givenName>
      <familyName>Cetin</familyName>
      <affiliation>Bilkent Univ, Dept Elect &amp; Elect Engn, TR-06800 Ankara, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Video Based Wildfire Detection At Night</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2009</publicationYear>
  <dates>
    <date dateType="Issued">2009-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/42017</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.firesaf.2009.04.003</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">There has been an increasing interest in the study of video based fire detection algorithms as video based surveillance systems become widely available for indoor and outdoor monitoring applications. A novel method explicitly developed for video based detection of wildfires at night (in the dark) is presented in this paper. The method comprises four sub-algorithms: (i) slow moving video object detection, (ii) bright region detection, (iii) detection of objects exhibiting periodic motion, and (iv) a sub-algorithm interpreting the motion of moving regions in video. Each of these sub-algorithms characterizes an aspect of fire captured at night by a visible range M camera. Individual decisions of the sub-algorithms are combined together using a least-mean-square (LMS) based decision fusion approach, and fire/nofire decision is reached by an active learning method. (C) 2009 Elsevier Ltd. All rights reserved.</description>
  </descriptions>
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