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

Ali Pirshayan, Hadi Seyedarabi, Siamak Haghipour


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-based algorithms for searching and detecting of target on the video stream. The data processing algorithm used to estimate the position 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

Full Text:


Lululemon Black Friday cheap nfl jerseys Lululemon factory Outlet ny Black Friday discount tiffany outlet wholesale soccer jerseys online oakley black friday cheap nhl jerseys china cheap nfl jerseys north face black friday sale cheap nfl jerseys online Jordans Black Friday Sale 2015 Cheap Moncler Cyber Monday moncler outlet cheap soccer jerseys moncler outlet black friday cheap authentic nfl jerseys north face cyber monday Louboutin Black Friday canada wholesale cheap nfl jerseys lululemon cyber monday 2015 cheap nfl jerseys from china 2015 Cheap Moncler Black Friday Sale Moncler Cyber Monday 2015 cheap jerseys Lululemon Cyber Monday Sale jordans cyber monday deals 2015 cheap nike nfl jerseys Black Friday deals Lululemon 2015 jordan black friday 2015 Moncler Jackets Black Friday Sale 2015 Louboutin Pas Cher Black Friday 2015 Canada Lululemon north face black friday cheap wholesale soccer jerseys