Presentation | 2009-10-16 Smoke Detection Method Based on the Local Hurst Exponent Takeshi YAMAMICHI, Hidenori MARUTA, Fujio KUROKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Early fire detection is one of the important issue of safe operations in extensive facilities such as ports, power plants and large factories. For this purpose, smoke detection with image information is effective. However, smoke detection method has difficulties to treat smoke's information due to its characteristics such as a transmissive property, a non-stationary shape and so on. In this study, we propose a smoke detection method based on its characteristics. Smoke is considers as a fractal, and based on the fractal property, we detect smoke in the images. We use Hurst exponent, which is one of the index of fractals, to detect smoke regions in images. Moreover, as smoke is considered as a moving object, we use time-varying information of smoke in image sequences to obtain more accurate results of the extraction of smoke regions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Smoke Detection / Self-Affine Fractal / Hurst Exponent |
Paper # | SIP2009-67,IE2009-92 |
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Committee | IE |
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Conference Date | 2009/10/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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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) | Smoke Detection Method Based on the Local Hurst Exponent |
Sub Title (in English) | |
Keyword(1) | Smoke Detection |
Keyword(2) | Self-Affine Fractal |
Keyword(3) | Hurst Exponent |
1st Author's Name | Takeshi YAMAMICHI |
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 # | SIP2009-67,IE2009-92 |
Volume (vol) | vol.109 |
Number (no) | 227 |
Page | pp.pp.- |
#Pages | 6 |
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