Skin Detection Using YCbCr Colour Space for UAV-Based Disaster Management

Abstract

Crushing impact of inappropriate disaster management and expanded death rate during a disaster compelled to search for powerful disaster management. Rapid technological advancement and research on unmanned aerial vehicle (UAV) urged them to use in disaster management. UAV captures the disaster site images and upon further analysis by image processing techniques helps in human detection through skin detection technique. The study involves skin detection using YCbCr colour space. Experiment test was performed on both outdoor and indoor, and the results largely depend on light conditions and various environmental factors. The UAV was hovered above 15 m from the ground to capture the outdoor samples This technique helps to get better output such that humans could be detected based on their skin and quick recovery can be made reducing the mortality and risk of rescue operators.