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- 2017
旋转复杂背景中红外运动小目标实时检测
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Abstract:
针对旋转复杂背景中红外运动小目标检测误检率高、实时性差等问题，提出了目标检测新算法。首先对图像进行中值滤波预处理，计算图像光流场，提取特征点，估算背景光流；然后设置阈值，判断提取备选目标特征点集合；最后通过特征点光流矢量角度、目标灰度值区间、目标特征点区域边缘检测的方法，排除备选目标特征点集合中的背景特征点，实时准确检测旋转复杂背景中红外运动小目标。实验结果表明，该算法能够准确地检测出红外多个运动小目标，检测率93.8%，平均虚警率0.126次/帧，平均每帧耗时15.53 ms，每帧图像处理的最大时间为20.45 ms，能够满足运动目标检测对实时性的要求。
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