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Moving Targets Detection and Tracking Based on Nonlinear Adaptive Filtering

机译:基于非线性自适应滤波的运动目标检测与跟踪

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摘要

To resolve the problem of the missile detection in the space early-warning process,an efficient method based on nonlinear adaptive filtering is proposed to detect the small IR target of low SNR under the complex background in this paper.The method can eliminate the influence of the unbalance background to the image segmentation,select the small moving target and the noise points and then eliminate wrong point targets to obtain the satisfactory detection result.The effectiveness of the method is proved by the experimental results for several infrared image sequences.
机译:为解决空间预警中的导弹探测问题,本文提出了一种基于非线性自适应滤波的有效方法,可以在复杂背景下检测低信噪比的小红外目标。在不平衡背景下进行图像分割,选择较小的运动目标和噪声点,然后剔除错误的目标点,得到满意的检测结果。该方法的有效性由多个红外图像序列的实验结果证明。

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