  In this paper, we develop a functional Unmanned Aerial Vehicle (UAV), capable
of tracking an object using a Machine Learning-like vision system called Haar
feature-based cascade classifier. The image processing is made on-board with a
high processor single-board computer. Based on the detected object and its
position, the quadrotor must track it in order to be in a centered position and
in a safe distance to it. The object in question is a human face; the
experiments were conducted in a two-step detection, searching first for the
upper-body and then searching for the face inside of the human body detected
area. Once the human face is detected the quadrotor must follow it
automatically. Experiments were conducted which shows the effectiveness of our
mythology; these results are showing in a video.
