基于机器视觉的运动目标检测方法研究
Coal Mine Machinery(2008)
Abstract
针对复杂背景下机器视觉系统中运动目标的检测,提出一种基于差分图像的列灰度均值分布的运动目标检测方法,该方法以自适应更新法建立背景模型,根据差分图像的列灰度均值分布图来实现差分图像的二值化及二值差分图像中阴影和噪声处理.实验表明,该方法有效去除了运动目标阴影及背景噪声,可准确地检测出运动目标.
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Key words
column gray level mean distribution,moving object detection,machine vision,adaptive update
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