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Tracking of streaking targets in video frames

机译:跟踪视频帧中的裸奔目标

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A method for tracking streaking targets (targets whose signatures are spread across multiple pixels in a focal plane array) is developed. The outputs of a bank of matched filters are thresholded and then used for measurement extraction. The use of the Deep Target Extractor (DTE, previously called the MLPMHT) allows for tracking in the very low observable (VLO) environment common when a streaking target is present. A definition of moving target signal to noise ratio (MT-SNR) is also presented as a metric for trackability. The extraction algorithm and the DTE are then tested across several variables, including trajectory, MT-SNR, and streak length. The DTE and measurement extraction process performs remarkably well in this difficult tracking environment on these data features.
机译:开发了一种用于跟踪划线目标(其签名分布在焦平面阵列中的多个像素上的目标)的方法。一组匹配滤波器的输出经过阈值处理,然后用于测量提取。深度目标提取器(DTE,以前称为MLPMHT)的使用允许在存在条纹目标时在非常低的可观察(VLO)环境中进行跟踪。还提出了移动目标信噪比(MT-SNR)的定义,作为可跟踪性的度量。然后在多个变量(包括轨迹,MT-SNR和条纹长度)上测试提取算法和DTE。在这种困难的跟踪环境中,这些数据特征上的DTE和测量提取过程非常出色。

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