A New Approach to Track Moving Target with Improved Mean Shift Algorithm and Kalman Filter
Chengpo Mu, Zhijie Yuan, Jia Song, Yuanqian Chen · 2012
In the application and prospect of computer vision technique, video target recognition and tracking was an important research subject. In this article, we present a new approach to track moving target with mean shift algorithm and kalman filter. With this approach, we do not need to calculate the Bhattacharyya coefficient, so we can track the moving target at real time. But we found that the robust of the track is not very well, so we use kalman filter to improve the effect of the track window. With simulation and experience, we prove that the new approach can Track the moving target in real time and the robust of the track is very well.