Presentation 2009-10-16
Extraction of Smoke Region Based on Texture Features and its Time Series Properties
Akihiro NAKAMURA, Hidenori MARUTA, Fujio KUROKAWA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) To build and maintain safer infrastructure, early and certain fire detection is one of the important issue. Especially, it becomes an urgent problem in large facilities like ports, factories and power plants, due to its large effect to surrounding areas. In this study, we propose a novel smoke detection method based on image information. Smoke is consider a moving objects, so firstly we extract moving objects of input images as smoke candidate regions. Because smoke has a characteristic pattern as image information, we treat smoke patterns as textures. Here we use texture analysis to extract feature vectors of images. To classify extracted moving objects are smoke or non-smoke, we use support vector machine (SVM) with texture features as input features. Extraction of moving objects are sometimes easily affected by environmental conditions. So we accumulate the result of the classification with SVM about time to obtain accurate extraction results of smoke regions.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Smoke detection / Texture features / Support vector machine
Paper # SIP2009-68,IE2009-93
Date of Issue

Conference Information
Committee IE
Conference Date 2009/10/8(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Extraction of Smoke Region Based on Texture Features and its Time Series Properties
Sub Title (in English)
Keyword(1) Smoke detection
Keyword(2) Texture features
Keyword(3) Support vector machine
1st Author's Name Akihiro NAKAMURA
1st Author's Affiliation Graduate School of Science and Technology, Nagasaki University()
2nd Author's Name Hidenori MARUTA
2nd Author's Affiliation Information Media Center, Nagasaki University
3rd Author's Name Fujio KUROKAWA
3rd Author's Affiliation Graduate School of Science and Technology, Nagasaki University:Information Media Center, Nagasaki University:Faculty of Engineering, Nagasaki University
Date 2009-10-16
Paper # SIP2009-68,IE2009-93
Volume (vol) vol.109
Number (no) 227
Page pp.pp.-
#Pages 6
Date of Issue