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基于帧差与统计法的运动图像背景提取算法

A Background Extraction Algorithm for Moving Image Based on Combining Frames and Statistics Method
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摘要 背景提取是摄像头静止的运动图像处理的基础技术之一。针对一般背景提取算法运算复杂、实时性差等缺点,提出一种新的基于帧间差分与选择性统计相结合的背景提取算法。通过帧间差分和统计,对图像进行分块选取,削弱运动物体和噪声对于像素分布的影响。实验表明,该算法所取得的背景效果良好,并可快速有效地对背景进行提取和更新。 Background extraction is one of the basic technologies for moving image processing.It has complicated computation and bad real time feature for general background extraction algorithm.Presents a new image background extraction algorithm which combines difference algorithm between frames and selectively statistics method.Through difference and statistics,weakens the influence of moving objects and the noise for pixel distributed.Experiment shows that this algorithm can extract and update background quickly and effectively.
作者 高爽 卞建勇
机构地区 东莞职业技术学院电子工程系
出处 《现代计算机》 2011年第3期48-50,68,共4页 Modern Computer
关键词 背景提取 图像处理 统计算法 Background Extraction Image Processing Statistical Algorithm
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5

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共引文献44

现代计算机
2011年 第3期

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