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基于GPU并行运算的红外运动目标实时增强算法

Moving Infrared Target Enhancement Algorithm Based on Parallel Processing Mode of GPU
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摘要 在一些复杂场景中,红外目标容易受到背景杂波及噪声的干扰,因此难以被准确地检测和识别出来。提出了一种基于光流的红外运动目标增强算法,即利用运动目标与背景之间的速度场差异对目标进行增强处理.同时,对该算法进行了基于计算机图形处理器(Graphic Processor Unit,GPU)并行运算的优化,使其可以在线实时运行.与运动目标检测中常用的帧差法和背景差分法相比,本文算法具有更好的稳健性。由于对实际的红外视频进行了运动目标增强处理,该算法表现出了较好的增强效果和实时性能. In some complex scenes, infrared targets are difficult to be detected and recognized due to theinterference of clusters and noise. A moving infrared target enhancement algorithm based on optical flowis proposed. In the algorithm, a moving target is enhanced by using the velocity field difference betweenthe target and the background. The algorithm is optimized on the basis of the parallel processing modeof a Graphic Processor Unit （GPU）. It can be implemented on line in real time. Compared with theframe difference method and background subtraction method commonly used in moving target detection,this algorithm is more robust. Because the moving target in the actual infrared video is enhanced, betterreal-time target enhancement effectiveness of the algorithm is revealed.
作者 金肖依 彭晨 鲁争艳 杨侃
机构地区 华东光电集成器件研究所 江苏省光谱成像与智能感知重点实验室
出处 《红外》 CAS 2014年第3期23-26,32,共5页 Infrared
关键词 红外 运动目标增强 光流 GPU infrared moving target enhancenebt optical slow GPU
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献6

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共引文献169

红外
2014年 第3期

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