| 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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| 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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