Title :
A vision-based target tracking control system of a quadrotor by using a tablet computer
Author :
JeongWoon Kim ; Shim, David Hyunchul
Author_Institution :
Dept. of Aerosp. Eng., KAIST, Daejeon, South Korea
Abstract :
This paper proposes a vision-based target tracking system of a quadrotor. The system consists of a vision-based target detection algorithm using color and image moment of a target candidate. A flight control layer working with the vision layer and the low level quadrotor control layer is designed using the offset of the target from the center of the image frame. The image processing and control algorithms are all implemented on a latest tablet computer, which was capable of running those algorithms in real-time. The proposed system was validated on a commercially available quadrotor platform and demonstrated satisfactory target tracking performance.
Keywords :
autonomous aerial vehicles; control engineering computing; helicopters; image colour analysis; mobile robots; notebook computers; object detection; robot vision; target tracking; color moment; control algorithm; image moment; image processing; quadrotor; tablet computer; vision-based target detection algorithm; vision-based target tracking control system; Aircraft; Cameras; Filtering algorithms; Image color analysis; Tablet computers; Target tracking;
Conference_Titel :
Unmanned Aircraft Systems (ICUAS), 2013 International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4799-0815-8
DOI :
10.1109/ICUAS.2013.6564808