Publication at Faculty of Mathematics and Physics |
2016
Abstract
AR. Drone is a quadcopter with onboard sensors including a frontal camera.
The drone can be controlled from a computer via WiFi. This paper describes a method for autonomous tracking of a selected object by AR.
Drone. We utilize a computer-vision approach called tracking-learning-detection (TLD) to track an arbitrary object selected by a user in the videostream going from the front camera of the drone.
Information about location of the tracked object is then used to guide the drone using the proportional-integral-derivative (PID) controller. The method was implemented in software FollowMe.