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Infrared moving target detection and tracking based on tensor locality preserving projection

机译：基于张量局部保留投影的红外运动目标检测与跟踪

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摘要

This paper presents an algorithm for detecting and tracking dim moving target in IR image sequence with low SNR. The algorithm, which is designed based on the locality preserving projection, accepts tensors as inputs. The justification for the algorithm comes from the role of the generalized eigenvalue problem in providing an optimal embedding for the manifold. Not only does the proposed method inherit the attractive characteristics of the locality preserving projections in terms of exploiting the intrinsic manifold structure, it is also appealing in terms of significant reduction in both space complexity and time complexity. Experimental results on two IR image sequences demonstrate the effectiveness of the proposed algorithm.
机译：提出了一种低信噪比的红外图像序列中弱运动目标的检测与跟踪算法。该算法基于局部性保留投影而设计，接受张量作为输入。该算法的合理性来自广义特征值问题在为流形提供最佳嵌入方面的作用。所提出的方法不仅在利用固有流形结构方面继承了局部性保留投影的吸引人的特征，而且在空间复杂度和时间复杂度的显着降低方面也具有吸引力。在两个红外图像序列上的实验结果证明了该算法的有效性。

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