Vision-based autonomous object tracking for unmanned aerial vehicles

Abstract

This article presents an object tracking algorithm based on information retrieved from the vision system. The proposed was implemented and tested on an unmanned quadrotor. The proposed vision-based object tracking algorithm was presented in details. The main aim of this work was the experimental tests of proposed visual servoing method. During the tests the algorithm has been verified under various conditions that assess its quality.