1·This paper presents an extended kalman filtering algorithm for tracking infrared target, using the outputs from a forward-looking infrared (FLIR) sensor as measuring value.
本文提出了一种直接把红外前视传感器的输出作为测量值来跟踪红外目标的扩展型卡尔曼滤波跟踪算法。
2·This paper studies emphatically on the problem of filtering divergence when applies kalman filtering in the parameters estimation of electrostatic supported gyro monitor (ESGM).
本文重点研究了卡尔曼滤波在静电陀螺监控器(ESGM)参数估计应用中滤波发散的问题。
3·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。
4·In the tracking stage, track face using kalman filter and skin-color feature, if fail to track then turn into detecting stage.
跟踪阶段用卡尔曼滤波器结合肤色特征跟踪人脸,如果跟踪失败,转入检测阶段。
5·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。