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Moving Object Detection Method Based on NMI Features Motion Detection Frame Difference

机译:基于NMI特征的运动目标检测方法运动检测帧差

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摘要

This paper focuses on motion target front and back disruption or smearing phenomenon this easily produced by inter-frame difference algorithm. In this paper, which use NMI features to extract Image feature and use Frame Difference to detection Moving object. In the method, firstly extracting NMI features of motion the target area, and the standardized vector. Then analyzing data of definition pixel region that produced by frame data difference to capture moving objects in the scene. From the simulation validation, the method can effectively solve the phenomenon of splitting or smear that appear in the frame difference and accurately extract target.
机译:本文重点研究帧间差分算法很容易产生的运动目标前后扰动或拖尾现象。本文利用NMI特征提取图像特征,并利用帧差检测运动物体。该方法首先提取目标区域运动的NMI特征和标准化矢量。然后分析由帧数据差异产生的清晰度像素区域数据,以捕获场景中的移动物体。通过仿真验证,该方法可以有效解决帧差中出现的裂痕或污点现象,并准确地提取出目标。

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