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Correlation Pattern Recognition in Nonoverlapping Scene Using a Noisy Reference

机译:使用噪声参考的非重叠场景中的相关模式识别

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摘要

Correlation filters for recognition of a target in nonoverlapping background noise are proposed. The object to be recognized is given implicitly; that is, it is placed in a noisy reference image at unknown coordinates. For the filters design two performance criteria are used: signal-to-noise ratio and peak-to-output energy. Computer simulations results obtained with the proposed filters are discussed and compared with those of classical correlation filters in terms of discrimination capability.
机译:提出了用于在非重叠背景噪声中识别目标的相关滤波器。要识别的对象是隐式给出的;就是说,它被放置在嘈杂的参考图像中,坐标未知。对于滤波器设计,使用了两个性能标准:信噪比和峰值输出能量。讨论了使用拟议的滤波器获得的计算机仿真结果,并将其与经典相关滤波器的辨别能力进行了比较。

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