改进跟踪起始和跟踪终结算法，用卡尔曼滤波预测位置，最近邻原则进行数据关联，实现了对实验图像中多个目标的良好跟踪。
It succeeds in exemplificative images by improving the method of tracking origination and finality, using Kalman Filter to forecast the next position and the nearest rule to associate data.
在微波近场乳腺癌检测中，回波目标众多，可形成物理探测位置相对较少，缺少反演成像条件，属数学病态问题求解。
On breast cancer detection using near-field microwave under few number of physical detection points is a non-stable state problem because of fewer revising and imaging condition.
论文首先利用卡尔曼滤波预测了跟踪目标的位置信息和速度信息，根据预测位置建立了取景框并裁减图像。
Firstly, Kalman filter is used to forecast the position and the speed of the tracking object, then a scene on the frame is selected and the image based on the forecasted position is cut.
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