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均值漂移在背景像素模态检测中的应用

Application of Mean Shift Algorithm in Mode Seeking of Background Pixel Values
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摘要 自适应背景更新是视频序列运动分割中的重要步骤,而背景像素分布的不规律性是对背景进行更新的困难所在。本文首先对背景像素值分布的模态性特点进行描述,然后提出采用均值漂移(MeanShift)方法检测背景像素的模态数量,从而为背景建模提供依据,可以针对不同模态数量的背景像素采用不同的建模方法。这种基于背景像素模态分类的方法能够实现背景更新在精度和速度上的折中。 The background updating step is crucial to motion segmentation in video sequences. However, the irregular distributions of background pixel values make the background modeling complicated. First, the multi-modality problem of background pixel values is described. Then a novel method for background pixel classification by using mean shift based mode-seeking algorithm is presented, which can classify the background pixels as single mode or multiple mode pixels so that different updating methods can be applied. The presented method can help improve the speed of background reconstruction without reducing its precision
作者 梁英宏 王知衍 曹晓叶 许晓伟
机构地区 华南理工大学计算机科学与工程学院
出处 《计算机科学》 CSCD 北大核心 2008年第4期228-230,237,共4页 Computer Science
基金 科技部科技型中小型企业技术创新基金无偿资助项目(立项代码:02C26214400224) 广东省科技计划资助项目(项目编号:2002A1020104)
关键词 均值漂移 背景更新 模态检测 运动分割 Mean shift, Background updating, Modal detection, Motion segmentation
分类号 TP391.41 [自动化与计算机技术—计算机应用技术] TU323.5 [建筑科学—结构工程]
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参考文献16

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二级参考文献25

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计算机科学
2008年 第4期

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