DocumentCode
119592
Title
Fire detection in the buildings using image processing
Author
Seebamrungsat, Jareerat ; Praising, Suphachai ; Riyamongkol, Panomkhawn
Author_Institution
Dept. of Electr. & Comput. Eng., Naresuan Univ., Phitsanulok, Thailand
fYear
2014
fDate
26-27 March 2014
Firstpage
95
Lastpage
98
Abstract
To reduce loss of life and property from fire, an early warning is an imperative. A fire detection system based on light detection and analysis is proposed in the paper. This system uses HSV and YCbCr color models with given conditions to separate orange, yellow, and high brightness light from background and ambient light. Fire growth is analysed and calculated based on frame differences. The overall accuracy from the experiments has been greater than 90%.
Keywords
buildings (structures); fires; image colour analysis; object detection; HSV color models; YCbCr color models; buildings; early warning; fire detection system; fire growth; frame differences; image processing; light analysis; light detection; Accuracy; Buildings; Cameras; Fires; Image color analysis; Internet; Video sequences; color segmentation; conflagration; fire detection; fire video; flame detection; image processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Student Project Conference (ICT-ISPC), 2014 Third ICT International
Conference_Location
Nakhon Pathom
Print_ISBN
978-1-4799-5572-5
Type
conf
DOI
10.1109/ICT-ISPC.2014.6923226
Filename
6923226
Link To Document