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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 (2011) IEEE International Conference on Multimedia and Expo.
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.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
time-of-flight imaging, video images, multisensor fire detection, visual imaging
in
IEEE International Conference on Multimedia and Expo
issue title
2011 IEEE International conference on multimedia and expo (ICME 2011)
pages
6 pages
publisher
IEEE
place of publication
New York, NY, USA
conference name
2011 IEEE International Conference on Multimedia and Expo (ICME 2011)
conference location
Barcelona, Spain
conference start
2011-07-11
conference end
2011-07-15
Web of Science type
Proceedings Paper
Web of Science id
000304354700198
ISSN
1945-7871
ISBN
9781612843506
9781612843490
DOI
10.1109/ICME.2011.6012201
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1987562
handle
http://hdl.handle.net/1854/LU-1987562
date created
2012-01-16 15:55:54
date last changed
2013-03-27 14:16:39
@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},
}

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.