| Presentation | 2009-01-23 Study of the Feature Values for Detection of Smoke by Image Recognition Kentaro IWAMOTO, Hironori INOUE, Toshihisa TANAKA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We study feature values for the detection of smoke using image recognition. In a previous work, feature values based on statistics and differential values are extracted from a time sequence of grayscale (luminance) images. In this paper, we apply this feature values to the color components of both an input image and its edge image. Then, by simulation we find the best combination of feature values. In addition, we study parameters of SVM which provide better performance in recognition. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | image recognition / support vector machine / machine learning / feature selection |
| Paper # | SIP2008-162,RCS2008-210 |
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| Conference Information | |
| Committee | RCS |
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| Conference Date | 2009/1/15(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Radio Communication Systems (RCS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study of the Feature Values for Detection of Smoke by Image Recognition |
| Sub Title (in English) | |
| Keyword(1) | image recognition |
| Keyword(2) | support vector machine |
| Keyword(3) | machine learning |
| Keyword(4) | feature selection |
| 1st Author's Name | Kentaro IWAMOTO |
| 1st Author's Affiliation | Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology() |
| 2nd Author's Name | Hironori INOUE |
| 2nd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology |
| 3rd Author's Name | Toshihisa TANAKA |
| 3rd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology |
| Date | 2009-01-23 |
| Paper # | SIP2008-162,RCS2008-210 |
| Volume (vol) | vol.108 |
| Number (no) | 391 |
| Page | pp.pp.- |
| #Pages | 6 |
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