| Presentation | 2009-10-16 Cigarette smoke detection using feature values based on liner prediction Kentaro IWAMOTO, 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 this paper, we propose to carry out the modeling of the pixel for prediction with a time image sqeuqnce by linear weighted sum of a circumference pixel and a prediction coefficient. In the update of the prediction coefficient for this modeling, we show that there are a difference between smoke and other objects in behavior of prediction coefficients or behavior of a squared error. We apply these observation as feature values to the smoke dection. Then, by simulation we find the best combination of these feature values. In addition, we study optimal parameters in the update of the prediction coefficients. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | image recognition / support vector machine / machine learning / feature selection |
| Paper # | SIP2009-69,IE2009-94 |
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| Conference Information | |
| Committee | IE |
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| Conference Date | 2009/10/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | Cigarette smoke detection using feature values based on liner prediction |
| 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 | Toshihisa TANAKA |
| 2nd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology |
| Date | 2009-10-16 |
| Paper # | SIP2009-69,IE2009-94 |
| Volume (vol) | vol.109 |
| Number (no) | 227 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |