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Multi-sensor fire detection using visual and time-of-flight imaging

Steven Verstockt (UGent) , Pieterjan De Potter (UGent) , Sofie Van Hoecke (UGent) , Peter Lambert (UGent) and Rik Van de Walle (UGent)
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Abstract
This paper proposes a novel multi-sensor fire detection method based on ordinary video images and the amplitude images of a time-of-flight camera. Using this multi-modal in formation, flame regions can be detected very accurately. Regions with high accumulative amplitude differences and high values in all detail images of the amplitude image its discrete wavelet transform, are labeled as candidate flame regions. Simultaneously, moving objects in the visual images are also investigated. Objects which possess the experimentally found low-cost flame features are also labeled as candidate flame region. Finally, if one of the visual and amplitude candidate flame regions overlap, fire alarm is given. Experiments show that the proposed detector has an average flame detection rate of 92% with no false positive detections.
Keywords
time-of-flight imaging, video images, multisensor fire detection, visual imaging

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Chicago
Verstockt, Steven, Pieterjan De Potter, Sofie Van Hoecke, Peter Lambert, and Rik Van de Walle. 2011. “Multi-sensor Fire Detection Using Visual and Time-of-flight Imaging.” In IEEE International Conference on Multimedia and Expo. New York, NY, USA: IEEE.
APA
Verstockt, S., De Potter, P., Van Hoecke, S., Lambert, P., & Van de Walle, R. (2011). Multi-sensor fire detection using visual and time-of-flight imaging. IEEE International Conference on Multimedia and Expo. Presented at the 2011 IEEE International Conference on Multimedia and Expo (ICME 2011), New York, NY, USA: IEEE.
Vancouver
1.
Verstockt S, De Potter P, Van Hoecke S, Lambert P, Van de Walle R. Multi-sensor fire detection using visual and time-of-flight imaging. IEEE International Conference on Multimedia and Expo. New York, NY, USA: IEEE; 2011.
MLA
Verstockt, Steven, Pieterjan De Potter, Sofie Van Hoecke, et al. “Multi-sensor Fire Detection Using Visual and Time-of-flight Imaging.” IEEE International Conference on Multimedia and Expo. New York, NY, USA: IEEE, 2011. Print.
@inproceedings{1987562,
  abstract     = {This paper proposes a novel multi-sensor fire detection method based on ordinary video images and the amplitude images of a time-of-flight camera. Using this multi-modal in formation, flame regions can be detected very accurately. Regions with high accumulative amplitude differences and high values in all detail images of the amplitude image its discrete wavelet transform, are labeled as candidate flame regions. Simultaneously, moving objects in the visual images are also investigated. Objects which possess the experimentally found low-cost flame features are also labeled as candidate flame region. Finally, if one of the visual and amplitude candidate flame regions overlap, fire alarm is given. Experiments show that the proposed detector has an average flame detection rate of 92\% with no false positive detections.},
  author       = {Verstockt, Steven and De Potter, Pieterjan and Van Hoecke, Sofie and Lambert, Peter and Van de Walle, Rik},
  booktitle    = {IEEE International Conference on Multimedia and Expo},
  isbn         = {9781612843506},
  issn         = {1945-7871},
  keyword      = {time-of-flight imaging,video images,multisensor fire detection,visual imaging},
  language     = {eng},
  location     = {Barcelona, Spain},
  pages        = {6},
  publisher    = {IEEE},
  title        = {Multi-sensor fire detection using visual and time-of-flight imaging},
  url          = {http://dx.doi.org/10.1109/ICME.2011.6012201},
  year         = {2011},
}

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