Development of Searching Survivors in Disaster Affected Areas Using UAV and Image Analysis
| Project/Area Number |
24651195
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Natural disaster science
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| Research Institution | Tohoku University |
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Principal Investigator |
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| Research Collaborator |
SATO Ryoji
FUKUOKA Takumi
HAYASHI Satomi
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | UAV / リモートセンシング / 地理情報システム / 減災 / 自然災害 / 津波災害 / 画像解析 / ＵＡＶ / 津波 / 防災 |
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| Outline of Final Research Achievements |
When natural disasters strike, such as tsunamis and floods, people are sometimes left and they are isolated in disaster-affected areas. For searching those people more quickly, UAV (Unmanned Aerial Vehicle), which can be easily operated by remote control, is believed to have the capability. In order to make the search activity using UAV more reliable and efficient, methods for detecting survivors automatically are necessary. In this study, by applying several image analysis methods to the images taken with UAV, we tried detecting humans from those images with high accuracy. As a result, we succeeded to detect them with zero to eight misdetections and little nondetections by utilizing their whole bodies, upper bodies, shadows, and line segments in the images.
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Report
(4 results)
Research Products
(12 results)
