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Life Signs Detector Using a Drone in Disaster Zones

1
Electrical Engineering Technical College, Middle Technical University, Baghdad 1022, Iraq
2
School of Engineering, University of South Australia, Mawson Lakes, SA 5095, Australia
3
Joint and Operations Analysis Division, Defence Science and Technology Group, Melbourne, VIC 3207, Australia
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(20), 2441; https://doi.org/10.3390/rs11202441
Received: 15 September 2019 / Revised: 13 October 2019 / Accepted: 17 October 2019 / Published: 21 October 2019
(This article belongs to the Section Remote Sensing Image Processing)
In the aftermath of a disaster, such as earthquake, flood, or avalanche, ground search for survivors is usually hampered by unstable surfaces and difficult terrain. Drones now play an important role in these situations, allowing rescuers to locate survivors and allocate resources to saving those who can be helped. The aim of this study was to explore the utility of a drone equipped for human life detection with a novel computer vision system. The proposed system uses image sequences captured by a drone camera to remotely detect the cardiopulmonary motion caused by periodic chest movement of survivors. The results of eight human subjects and one mannequin in different poses shows that motion detection on the body surface of the survivors is likely to be useful to detect life signs without any physical contact. The results presented in this study may lead to a new approach to life detection and remote life sensing assessment of survivors. View Full-Text
Keywords: cardiopulmonary motion; motion detection; drone; UAV; OpenPose; denoising; Wavelet cardiopulmonary motion; motion detection; drone; UAV; OpenPose; denoising; Wavelet
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MDPI and ACS Style

Al-Naji, A.; Perera, A.G.; Mohammed, S.L.; Chahl, J. Life Signs Detector Using a Drone in Disaster Zones. Remote Sens. 2019, 11, 2441.

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