The results show that this algorithm can detect small targets within IR image sequence with SNR higher than 2.0.

结果表明，算法能够从信噪比大于2.0的图像序列中检测出目标轨迹。

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Experimental results show that this algorithm can detect small targets within the IR image sequence which SNR is bigger than 2.0.

实验结果表明，该算法能够从信噪比大于2．0的图像序列中检测出目标。

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Simulations of real IR image sequence with low SNR prove the algorithm can effectively detect dim moving target, and has high detection probability and excellent real time performance.

仿真实验结果表明，该算法具有较高的检测率和良好的实时特性，能有效地检测出低信比红外图像序列中的弱小运动目标。

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This paper proposes a new algorithm on dim target detecting, recognition and tracking from an image sequence produced by an IR sensor.

本文研究红外探测仪器产生的低信噪比序列图像中目标检测、识别及跟踪算法。

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In terms of the low SNR and contrast, the small and dim targets can not be easily detected in a single IR image, so utilizing a sequence of images is an effective method.

红外图像中的弱小目标因为信噪比和对比度较低，用单帧图像检测很难得到满意的效果，利用多帧图像信息进行检测是有效的手段之一。

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In terms of the low SNR and contrast, the small and dim targets can not be easily detected in a single IR image, so utilizing a sequence of images is an effective method.

红外图像中的弱小目标因为信噪比和对比度较低，用单帧图像检测很难得到满意的效果，利用多帧图像信息进行检测是有效的手段之一。

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