1 Ocak 2009 Dergi makalesi Açık Erişim

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

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        "affiliation": "Bilkent Univ, Dept Elect & Elect Engn, TR-06800 Ankara, Turkey", 
        "name": "Gunay, Osman"
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      {
        "affiliation": "Bilkent Univ, Dept Elect & Elect Engn, TR-06800 Ankara, Turkey", 
        "name": "Tasdemir, Kasim"
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      {
        "affiliation": "Bilkent Univ, Dept Elect & Elect Engn, TR-06800 Ankara, Turkey", 
        "name": "Toreyin, B. Ugur"
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      {
        "affiliation": "Bilkent Univ, Dept Elect & Elect Engn, TR-06800 Ankara, Turkey", 
        "name": "Cetin, A. Enis"
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    "description": "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.", 
    "doi": "10.1016/j.firesaf.2009.04.003", 
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    "journal": {
      "issue": "6", 
      "pages": "860-868", 
      "title": "FIRE SAFETY JOURNAL", 
      "volume": "44"
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