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
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;
Conference_Titel :
Student Project Conference (ICT-ISPC), 2014 Third ICT International
Conference_Location :
Nakhon Pathom
Print_ISBN :
978-1-4799-5572-5
DOI :
10.1109/ICT-ISPC.2014.6923226
