1 Ocak 2009 Dergi makalesi Açık Erişim

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

Citation Style Language JSON

{
  "DOI": "10.1016/j.firesaf.2009.04.003", 
  "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.", 
  "author": [
    {
      "family": "Gunay", 
      "given": " Osman"
    }, 
    {
      "family": "Tasdemir", 
      "given": " Kasim"
    }, 
    {
      "family": "Toreyin", 
      "given": " B. Ugur"
    }, 
    {
      "family": "Cetin", 
      "given": " A. Enis"
    }
  ], 
  "container_title": "FIRE SAFETY JOURNAL", 
  "id": "42017", 
  "issue": "6", 
  "issued": {
    "date-parts": [
      [
        2009, 
        1, 
        1
      ]
    ]
  }, 
  "page": "860-868", 
  "title": "Video based wildfire detection at night", 
  "type": "article-journal", 
  "volume": "44"
}