基于帧差与统计法的运动目标背景图像提取算法
An Algorithm for Moving Image Bacground Extraction Combining Difference Algorithm Between Frames and Selectively Statistics Algorithm
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摘要: 针对一般背景提取算法运算复杂、实时性差等缺点, 提出了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, 削弱了运动物体和噪声对于像素分布的影响.实验表明, 上述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.Abstract: General background extraction algorithm has complicated computation and bad real time feature.A new image background extraction algorithm was brought out which combines difference algorithm between frames and selectively statistics algorithm.Through difference and statistics, the influence of moving objects and the noise for pixel distributed was weakened.Experiment shows that this algorithm can extract and update background quickly and effectively.
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