低对比度小目标检测与跟踪算法的研究是电视跟踪领域的关键技术之一。
Detection of small target with low contrast and the research for tracking algorithm is one of the key techniques in TV tracking field.
针对以上问题，文章讨论了在低对比度、强干扰的情况下，对弱目标的提取方法。
For that, this paper proposes a method that extracts the weak target from background, which includes strong noises and low contrast.
为了解决低对比度红外序列图像中运动小目标的检测问题，提出了一种基于多级滤波的检测方法。
In order to solve the problem of detecting moving small targets in low-contrast infrared image sequences, a new detection method based on multilevel filter is proposed.
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