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Small and dim target detection based on motion integration in visual attention model

机译:视觉注意力模型中基于运动集成的小目标和暗目标检测

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In this article, the motion integration is firstly introduced into dim and small target detection in deep space background, and a target detection model which simulates human vision attention mechanism is designed. This model fully uses the sensitiveness of human vision with orientation and motion characteristics, and realizes the dim and small target detection through the saliency map produced by features integration. The experimental results indicate that the model is fit for kinds of working pattern of detection system for target detection conveniently.
机译:本文首先将运动积分引入到深空背景下的昏暗和小目标检测中,设计了一种模拟人类视觉注意力机制的目标检测模型。该模型充分利用了人类视觉对方向和运动特征的敏感度,并通过特征整合生成的显着图实现了弱小目标的检测。实验结果表明,该模型适合目标检测系统的多种工作模式。

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