说明：  结合kalman滤波的meanshift跟踪算法，meanshift算法是一种经典的均值漂移跟踪算法，采用颜色直方图作为跟踪特征，具有很高的稳定性和鲁棒性，kalman滤波是一种线性滤波预测算法。在meanshift算法中引入kalman滤波，可以提高算法的稳定性，同时提高算法执行效率。代码中除了avi格式视频读取采用opencv库函数外，核心算法均为纯C++实现，注释详细，很容易理解，同时具有很高的参考价值。
(Meanshift kalman filtering combined tracking algorithm, meanshift algorithm is a classic mean shift tracking algorithm using color histogram as a tracking feature, with high stability and robustness, kalman filter is a linear filter prediction algorithm. Meanshift algorithm introduced in kalman filtering algorithm can improve the stability, while improving the efficiency of algorithms. In addition to avi video format code reading using opencv library functions, core algorithms are pure C++ achieved, detailed notes, it is easy to understand, but also has a high reference value.)