由于视频中运动具有连续性和规律性，根据前几帧的信息可以对后续帧中人脸位置加以预测跟踪。
Based on the former several frames, the positions of faces in the later frames can be forecasted and tracked because of the continuity and regularity of the motion in video.
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.
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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