In search and rescue operations, it is crucial to rapidly distinguish between those who are alive and those who are not. With this information, emergency teams can prioritize their operations to save more lives. However, in some natural disasters, people may be lying on the ground, covered with dust, debris, or ashes, making them difficult to detect through video analysis tuned to human shapes. We have introduced a technology that estimates the locations of people from aerial videos using image and signal processing designed to detect breathing movements. Our study demonstrates the effectiveness of this method in detecting both clearly visible people and those who are fully occluded by debris.
Copyright © 2020- 2024 ICIPRoB 2024 - International Conference on Image Processing and Robotics. All rights are reserved.