Detection Of A Fallen Person And Estimation Of The Head Position From Uav Images

Haruka Egawa, Seiji Ishiakwa,Joo Kooi Tan,Seiji Ishikawa

PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS (ICAROB 2021)（2021）

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摘要

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.

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关键词

Aerial photographs, Fallen persons, Rotation-invariant HOG, Rotation-invariant LBP, Random Forest, Gradient histogram

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