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

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

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