ANALYSIS OF THERMAL DYNAMICS OF MOVING OBJECTS THROUGH ARTIFICIAL VISION AND INFRARED THERMOGRAPHY FOR POTENTIAL APPLICATIONS IN BIOMEDICAL ENGINEERING

Abstract

The main objective of this work is to develop and evaluate a method to correct motion artifacts in thermal images using U-Net, a Convolutional Neural Network architecture and to demonstrate its effectiveness to obtain accurate thermal profiles under dynamic conditions, as the ones a living organism could pose.