A vision-based system for early fire detection

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

This paper presents a video-based early fire detection system. Focus is given to the challenges related to the actual deployment of the vision system. Most importantly, background subtraction is performed in a windowed way for improved accuracy, an attentive mechanism is employed to focus a computationally expensive frequency analysis of potential fire regions, interaction with a people detection and tracking system is included so as to enable model-based false alarms rejection, a new colour-based model of fire's appearance as well as a new Wavelet-based model of fire's frequency signature are proposed, and the camera-world mapping is approximated according to a GPS-based learning calibration process. An average success rate of 92.7% at a processing rate of 10 Hz shows the applicability of the model to real-life applications.
Original languageUnknown
Title of host publicationIEEE International Conference on Systems Man and Cybernetics Conference (SMC)
Pages739-744
ISBN (Electronic)978-1-4673-1712-2
DOIs
Publication statusPublished - 1 Jan 2012
EventIEEE International Conference on Systems, Man, and Cybernetics (SMC) -
Duration: 1 Jan 2012 → …

Conference

ConferenceIEEE International Conference on Systems, Man, and Cybernetics (SMC)
Period1/01/12 → …

Cite this

Barata Oliveira, J. A., & DEE Group Author (2012). A vision-based system for early fire detection. In IEEE International Conference on Systems Man and Cybernetics Conference (SMC) (pp. 739-744) https://doi.org/10.1109/ICSMC.2012.6377815