| Project/Area Number |
25870526
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Perceptual information processing
Measurement engineering
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| Research Institution | Nagasaki University |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 画像認識 / 煙画像解析 / 煙認識 / 画像特徴 |
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| Outline of Final Research Achievements |
The purpose of this research is to develop the robust detection method of smoke from outside scene with image information. The nature of smoke has dynamical shape structure and transparency and they make it more difficult to detect smoke from image sequence compare to other solid shaped objects. To address such problems, LBP based image feature which are extended to represent such natures of smoke. Additionally, AdaBoost, which is widely used in the field of machine learning area, is combined with the presented image features to obtain more accurate detection results against varying environmental conditions. Evaluation results reveal that the presented method has effective results using real scene data.
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