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.
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.
应用推荐