A HYBRID AUTONOMOUS VISUAL TRACKING ALGORITHM FOR MICRO AERIAL VEHICLES

An efficient image tracking algorithm plays a major role in an autonomous surveillance and monitoring the environment from micro aerial vehicle. A hybrid autonomous visual tracking algorithm is proposed based on cam-shift and extended kalman filter estimator for micro aerial vehicle. The proposed algorithm identifies and tracks the ground moving target continuously, even ground moving target moves quickly, and the color of the other ground moving target or background similar to that of the ground moving target. A MATLAB based simulation tool is developed for determining the proposed algorithm performance. The results exhibit that the proposed algorithm tracks the ground moving target very accurately