Algorithm for moving object tracking based on Kalman filter
一种基于卡尔曼滤波的运动物体跟踪算法

Based on the situation that the classic Camshift algorithm could not effective solve the problems such as target was covered and high speed moving in the field of real-time video tracking, this paper proposed a improved moving object tracking algorithm that combinating Camshift algorithm and Kalman filter. Firstly, in order to improve tracking stability of Camshift, adjusted the places and sizes by twice searching and then, in order to ensure real-time tracking, implemented motion prediction in search window by Kalman filter on the base of Camshift algorithms. The experimental results show that the improved algorithm has better real-time and can solve the cover problem more effective.