Ali Pirshayan - Department of Mechatronics Engineering, Tabriz Branch, Islamic Azad University Tabriz, IRAN
Hadi Seyedarabi - Faculty of Electrical and Computer Engineering, University of Tabriz Tabriz, IRAN
Siamak Haghipour - Department of Biomedical Engineering, Tabriz Branch, Islamic Azad UniversityTabriz, IRAN

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

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