Notice of Retraction: Tracking Moving Vehicle Based on Mean Shift Algorithm

In this paper, Adopt a way that combines with Mean Shift algorithm and Kalman filter to tracking moving vehicle in the paper. At first, Using inter-frame difference algorithm to extract aimed-vehicle. After the aimed-vehicle is processed by binarization and mathematics morphology, we adopt Kalman filter to predict the position of vehicle. Then we adopt Mean shift algorithm to iterate and compute the best position and track. We take the current best position as Kalman filter's observed value to predict next frame image. The experiment results show that, the algorithm can tracking moving vehicle precisely and real-time, and also has better robustness.