Presentation | 2009-10-16 Extraction of Smoke Region Based on Texture Features and its Time Series Properties Akihiro NAKAMURA, Hidenori MARUTA, Fujio KUROKAWA, |
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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 |
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Committee | IE |
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Conference Date | 2009/10/8(1days) |
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Paper Information | |
Registration To | Image Engineering (IE) |
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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 |
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