Feedback Method Based on Image Processing for Detecting Human Body via Flying Robot

Abstract

Image-processing is one the challenging issue in robotic as well as electrical engineering research contexts. This study proposes a system for extract and tracking objects by a quadcopter's flying robot and how to extract the human body. It is observed in image taken from real-time camera that is embedded bottom of the quadcopter, there is a variance in human behaviour being tracked or recorded such as position and, size, of the human. In the regard, the paper tries to investigate an image-processing method for tracking humans' body, concurrently. For this process, an extraction method, which defines features to distinguish a human body, is proposed. The proposed method creates a virtual shape of bodies for recognizing the body of humans, also, generate an extractor according to its edge information. This method shows better performance in term of precision as well as speed experimentally.