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Use of measurements from an imaging sensor for precision target tracking

机译:使用来自成像传感器的测量值进行精确的目标跟踪

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摘要

The extraction of measurements for precision tracking of the centroid of a target from a forward-looking infrared imaging sensor is presented. The size of the image of the target is assumed to be small, i.e. around 10 pixels. The statistical characterization of the centroid of the target is obtained. Similarly, the statistical properties of the image correlation of two frames, which measures the target offset, are derived. Explicit expressions that map the video noise statistics into measurement noise statistics are obtained. The offset measurement noise is shown to be autocorrelated. State variable models for tracking the target centroid with these measurements are then presented. Simulation results and quantitative conclusions about achievable subpixel tracking accuracy are given. It is shown that the filter that models the autocorrelated measurement noise provides the best performance.
机译:提出了从前瞻性红外成像传感器中提取用于精确跟踪目标质心的测量值。假设目标图像的尺寸很小,即大约10个像素。获得了目标质心的统计特征。类似地,得出测量目标偏移的两个帧的图像相关性的统计属性。获得将视频噪声统计信息映射到测量噪声统计信息的显式表达式。偏移测量噪声显示为自相关。然后介绍了使用这些测量值跟踪目标质心的状态变量模型。给出了关于可达到的亚像素跟踪精度的仿真结果和定量结论。结果表明,模拟自相关测量噪声的滤波器可提供最佳性能。

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