In order to detect and track dim-point targets under the complex background of sky, a high speed method is put, which uses multiwindow, little yardstick, repetitious subtracting and fusing images.

针对复杂天空背景下弱点目标的检测与跟踪，提出了一种利用多窗口、小尺度、多次差影融合点目标图像的快速检测与跟踪方法。

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In the thesis, the algorithm of background subtracting, frame difference algorithm, motion estimation based on optical flow field and object tracking based on active shape contour are investigated.

本文研究了背景相减算法、差分法、基于光流场的运动估计和基于主动形状模型的目标跟踪算法。

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