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复杂动态背景下的运动目标检测
复杂动态背景下的运动目标检测
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复杂动态背景下的运动目标检测
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复杂动态背景下的运动目标检测
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复杂动态背景下的运动目标检测
复杂动态背景下的运动目标检测
Journal Article

复杂动态背景下的运动目标检测

2018
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Overview
为实现复杂动态背景下快速、准确地检测运动目标,提出一种改进二进制鲁棒不变尺度特征(BRISK)算法的运动目标检测方法。首先对图像进行分块,利用图像熵对图像块进行筛选;然后针对特征匹配过程中存在大量误匹配的问题,采用k近邻算法与欧氏距离进行特征匹配;最后通过改进的顺序抽样一致性算法进行特征点提纯,进一步完成背景运动补偿,从而利用形态学处理分割运动目标。采用多组视频图像进行验证,本文算法在原BRISK算法的基础上去除了32.7%的特征点,并且匹配效率提高了75%,处理速度比以往算法快,并且具有较强的抗噪性能。
Publisher
Editorial Office of Opto-Electronic Advances,兰州交通大学自动化与电气工程学院,甘肃 兰州,730070