对于运动背景，论文主要研究复杂噪声干扰下的微小目标检测，提出了两种自适应复杂噪声滤波技术。
To the moving background, this dissertation addressed the detection of the image target in the complex noisy, and proposed two adaptive filtering technologies.
实验表明该算法对于发生平移、旋转变化的场景，能达到较好的背景运动补偿效果。
The experiments showed that the improved algorithm could get better effect of background motion compensation toward the translational and rotational motion of the background.
在运动点的运动方向为朝下时，对于两种背景，地图旋转方式的反应时均显著低于地图固定方式。
When the moving point was moving downward, the reaction time for the rotated map was significant shorter than for the static map on both kinds of backgrounds.
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