Computer vision based forest fire detection

Files

Computer vision based forest fire detection [Bilgisayarla görü ile orman yangini tespiti].pdf (2.91 MB)

Date

2008

Authors

Editor(s)

Advisor

Supervisor

Co-Advisor

Co-Supervisor

Instructor

Source Title

Proceedings of the 16th Signal Processing, Communication and Applications Conference, IEEE 2008

Print ISSN

Electronic ISSN

Publisher

IEEE

Volume

Issue

Pages

Language

Turkish

Type

Conference Paper

Journal Title

Journal ISSN

Volume Title

Series

Abstract

Lookout posts are commonly installed in the forests all around Turkey and the world. Most of these posts have electricity. Surveillance cameras can be placed on to these surveillance towers to detect possible forest fires. Currently, average fire detection time is 5 minutes in manned lookout towers. The aim ofthe proposed computer vision based method is to reduce the average fire detection rate. The detection method is based on the wavelet based analysis of the background images at various update rates.

Course

Other identifiers

Book Title

Keywords

Background images , Detection methods , Fire detections , Forest fire detections , Forest fires , Surveillance cameras , Update rates , Buildings , Computer vision , Deforestation , Fire detectors , Image processing , Navigation , Security systems , Signal processing , Fires , Safety , Towers

Citation

Permalink

http://hdl.handle.net/11693/26839

item.page.isversionof

http://dx.doi.org/10.1109/SIU.2008.4632677

Collections

Department of Electrical and Electronics Engineering