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Kyushu Institute of Technology
Kyushu Institute of Technology
Kyushu Institute of Technology
抄録
In order to search for victims in the event of a disaster, we propose a method of detecting a fallen person from UAV images and estimating its head position. Rotation-invariant HOG and Rotation-invariant LBP are used, so that they may detected a fallen person regardless of its body orientation. In addition, the position of the head of a fallen person is estimated using the peak of the gradient histogram. Experimental results show satisfactory performance of the proposed method.
内容記述
The 2021 International Conference on Artificial Life and Robotics (ICAROB 2021), January 21-24, 2021, Higashi-Hiroshima (オンライン開催に変更)
雑誌名
Proceedings of International Conference on Artificial Life & Robotics (ICAROB2021)
ページ
279 - 282
発行年
2021-01-22
出版者
ALife Robotics
ISSN
2435-9157
ISBN
978-4-9908350-6-4
権利
Copyright (c) The 2021 International Conference on Artificial Life and Robotics (ICAROB2021)
Detection of a Fallen Person and Estimation of the Head Position from UAV Images
ICAROB2021_OS14-1.pdf
(285.63KB)
