用opencv实现camshift算法 并且使用了 kalman算法来预测物体可能的运动轨迹 跟踪效果 一般-Achieved with opencv kalman camshift algorithm and uses algorithms to predict the trajectory of the object tracking results may be general

camshift算法的实现，利用opencv还进行视屏跟踪，要跟踪的物体是先用鼠标确定，代码已经运行-The realization of the camshift algorithm, using opencv also tracking the screen, to follow the object is to use the mouse determined, the code is running

如果要跟踪的物体颜色和背景色有较大区别，可用基于颜色的跟踪 如CAMSHIFT 鲁棒性都是较好的。 此源码是一个opencv自带的CamShift算法使用工程实例（有非常详细的注释）。该实例的作用是跟踪摄像头中目标物体，目标物体初始位置用鼠标指出，其跟踪窗口大小和方向随着目标物体的变化而变化。-If you want to track the object color and background color is quite different, color-based tracking is

opencv学习,camshift,能实现物体跟踪，入门学习的简单例程-opencv learning, camshift, object tracking can be achieved, started to learn the simple routines