这两种方法的共同点是都是通过建立目标运动的参数模型，获得目标的运动状态估计，从而实现目标跟踪。
Both tracking methods achieve the target tracking state in common by establishing the motion parameter model and obtaining the motion state estimation of the target.
首先用参数模型来描述雷达探测信号，然后用最大似然(ml)法对模型参数进行估计。
Using parameter model to describe the radar signals reflective from targets and then the model parameters are estimated by means of ML method.
借助于图像运动的变阶参数模型和鲁棒回归分析，提出一种基于运动分割的图像运动估计方法。
A motion based segmentation scheme for image motion estimation is proposed using variable order parameterized models of image motion and robust regression.
应用推荐