ML Anthology

A System for Real-Time Fire Detection

Glenn Healey, David Slater, Ted Lin, Ben Drda, A. Donald Goedeke
CVPR 1993 pp. 605-606
doi:10.1109/CVPR.1993.341064 /cvpr/1993/healey1993cvpr-system/

Abstract

A real-time system for automatic fire detection using color video input is presented. Such a system has significant advantages over traditional ultraviolet and infrared fire detectors. These include improved detection, fewer false alarms, and additional descriptive information about fire location, size, and growth rate. From the physical properties of fire, algorithms are derived for fire detection based on the spectral, spatial, and temporal properties of fire events. These algorithms are integrated into a system that has been tested successfully on a wide range of fire and false alarm stimuli. Experimental results are presented demonstrating system performance on a burning jet fuel fire.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Healey et al. "A System for Real-Time Fire Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341064

Markdown

[Healey et al. "A System for Real-Time Fire Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/healey1993cvpr-system/) doi:10.1109/CVPR.1993.341064

BibTeX

@inproceedings{healey1993cvpr-system,
  title     = {{A System for Real-Time Fire Detection}},
  author    = {Healey, Glenn and Slater, David and Lin, Ted and Drda, Ben and Goedeke, A. Donald},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {605-606},
  doi       = {10.1109/CVPR.1993.341064},
  url       = {https://mlanthology.org/cvpr/1993/healey1993cvpr-system/}
}