Cooperative Machine-Vision-Based Tracking using Multiple Unmanned Aerial Vehicles

This paper presents an automatic cooperative tracking of the interested target using two quad-rotors UAVs equipped with stereo vision systems. The system includes vision-basedalgorithms for searching and detecting of target on the video stream. The data processing algorithm used to estimate theposition of the target, in addition a method offered based on Kalman filter. This method applied to fusion of each UAV’s estimation together. This combination’s result increased accurate estimation of target location comparing with single ways

Keywords:

Unmanned Aerial Vehicles , Machine vision , Kalman Filter , Data Fusion , Vision-Based Tracking , Cooperative