The fourth chapter is about kalman trackers and an improvement.
第四章讨论了改进的卡尔曼跟踪滤波器。
参考来源 - 雷达组网系统中的数据融合研究Method of Kalman filtering is discussed in terms of tracking moving object.
针对目标跟踪,本文讨论了卡尔曼预测的方法。
参考来源 - 运动目标的分割与跟踪·2,447,543篇论文数据，部分数据来源于NoteExpress
This is a simple demonstration of the Kalman filtering process, and they hope to help everyone.
这是一个简单的卡尔曼滤波演示程序，希望对大家有所帮助。
The whole algorithm conformation is very skilled. Because the number of kalman filter is lesser, algorithm is real-time, and robust.
算法构造巧妙，由于使用了较少的卡尔曼滤波器，算法实时性好，鲁棒性更好。
When Kalman filtering cannot track efficiently the state with abrupt changes, MSTKF switches to strong tracking filtering with varying softening factor.
当卡尔曼滤波不能有效跟踪突变状态时，MSTKF切换为可变弱化因子的强跟踪滤波。
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