一种基于帧差法结合 Kalman 滤波的运动目标跟踪方法

为解决视频帧目标跟踪中的尺度变化导致的目标跟踪发生跟丢的问题，提出一种自适应跟踪窗口的处理方法，利用下一帧的估计位置与当前帧目标位置的差值作为检测量，自适应调整跟踪窗口，实现目标的有效检测和跟踪。实验结果表明：该方法能有效降低目标跟丢的概率，预防目标的误跟踪，适应目标尺度变化。

Moving Object Tracking Method Based on Frame Difference and Kalman Filter

The scale change of video frames in target tracking causes the problem that objects are lost. For solving this problem, an adaptive tracking window processing method is proposed, which uses the difference between the estimated position of the next frame and the current frame target position as the detection amount that can adaptively adjust the tracking window to achieve effective detection and tracking of targets. The experimental results show that the method can effectively reduce the probability of target and loss, prevent the target from being wrong tracking, and adapt to the target scale change.