An Autonomous Visual Tracking Algorithm Based on Mean-Shift Algorithm and Extended Kalman Filter Estimator

Abstract

An autonomous visual tracking algorithm based on mean-shift and extended kalman filter is proposed for micro aerial vehicle. This proposed algorithm is incorporated in the autonomous visual tracking software. This proposed algorithm identifies and tracks the ground moving target based on its 2D color space histogram. The implemented proposed algorithm is included in simulation to check whether the proposed algorithm identifies and tracks the GMT accurately or not from micro aerial vehicle. The captured results prove that the proposed autonomous visual tracking algorithm identifies and tracks the GMT very accurately.