Research on Target Tracking Algorithm based on Improved Mean Shift and Kalman Filter

In this paper we discuss about a target tracking algorithm based on Mean Shift and Kalman Filter, which is suitable for high speed moving target tracking. The basic Mean Shift algorithm is described in this paper as well. Although basic Mean Shift algorithm can realize target tracking without arguments or searching all the areas effectively, it has shortcomings which can limit its effectiveness under some conditions such as the target covered by something when moving or the target moving with high speed. In order to make Mean Shift target tracking algorithm satisfies the practical application, such as high speed moving target tracking, we analysis the lack of basic Mean Shift algorithm, then we design a target tracking algorithm which combine an improved Mean Shift target tracking algorithm with Kalman Filter(IMKTT). In the fourth section of the paper, we apply the algorithm to a monitoring system of Shanghai University. The result shows that the algorithm designed in this paper can effectively track high speed moving target, such as a car.