Video based fire detection at night

Date

2009

Editor(s)

Advisor

Supervisor

Co-Advisor

Co-Supervisor

Instructor

Source Title

Proceedings of the IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009

Print ISSN

Electronic ISSN

Publisher

IEEE

Volume

Issue

Pages

720 - 723

Language

Turkish

Journal Title

Journal ISSN

Volume Title

Usage Stats
0
views
16
downloads

Series

Abstract

There has been increasing interest in the study of video based fire detection as video based surveillance systems become widely available for indoor and outdoor monitoring applications. Video based fire detection methods in computer vision literature do not take into account whether the fire takes place in the day time or at night. A novel method explicitly developed for video based detection of fire at night (in the dark) is presented in this paper. The method comprises three sub-algorithms each of which characterizes certain part of fire at night. Individual decisions of the sub-algorithms are combined together using a least-mean-square based decision fusion approach.

Course

Other identifiers

Book Title

Degree Discipline

Degree Level

Degree Name

Citation

Published Version (Please cite this version)