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      A multi-modal video analysis approach for car park fire detection

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      Author
      Verstockt, S.
      Hoecke, S. V.
      Beji, T.
      Merci, B.
      Gouverneur, B.
      Çetin, A. Enis
      Potter, P. D.
      Walle, R. V. D.
      Date
      2013
      Source Title
      Fire Safety Journal
      Print ISSN
      0379-7112
      Publisher
      Elsevier
      Volume
      57
      Pages
      44 - 57
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      In this paper a novel multi-modal flame and smoke detector is proposed for the detection of fire in large open spaces such as car parks. The flame detector is based on the visual and amplitude image of a time-of-flight camera. Using this multi-modal information, flames can be detected very accurately by visual flame feature analysis and amplitude disorder detection. In order to detect the low-cost flame related features, moving objects in visual images are analyzed over time. If an object possesses high probability for each of the flame characteristics, it is labeled as candidate flame region. Simultaneously, the amplitude disorder is also investigated. Also labeled as candidate flame regions are regions with high accumulative amplitude differences and high values in all detail images of the amplitude image's discrete wavelet transform. Finally, when there is overlap of at least one of the visual and amplitude candidate flame regions, fire alarm is raised. The smoke detector, on the other hand, focuses on global changes in the depth images of the time-of-flight camera, which do not have significant impact on the amplitude images. It was found that this behavior is unique for smoke. Experiments show that the proposed detectors improve the accuracy of fire detection in car parks. The flame detector has an average flame detection rate of 93%, with hardly any false positive detection, and the smoke detection rate of the TOF based smoke detector is 88%.
      Keywords
      Flame detection
      Multi-modal video analysis
      Smoke detection
      Time-of-flight imaging
      Video fire detection
      Video surveillance
      Fire detection
      Flame detection
      Smoke detection
      Time-of-flight imaging
      Video analysis
      Video surveillance
      Amplitude modulation
      Cameras
      Discrete wavelet transforms
      Garages (parking)
      Parking
      Security systems
      Smoke detectors
      Detectors
      Permalink
      http://hdl.handle.net/11693/21139
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.firesaf.2012.07.005
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      • Department of Electrical and Electronics Engineering 3601
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