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2014 Fiscal Year Final Research Report

Development of Searching Survivors in Disaster Affected Areas Using UAV and Image Analysis

Research Project

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Project/Area Number 24651195
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Natural disaster science
Research InstitutionTohoku University

Principal Investigator

KOSHIMURA Shunichi  東北大学, 災害科学国際研究所, 教授 (50360847)

Research Collaborator SATO Ryoji  
FUKUOKA Takumi  
HAYASHI Satomi  
Project Period (FY) 2012-04-01 – 2015-03-31
KeywordsUAV / リモートセンシング / 地理情報システム / 減災 / 自然災害
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.

Free Research Field

自然災害科学

URL: 

Published: 2016-06-03  

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