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Improved Moving Object Segmentation Method Based on Region

By 葛庆国, 吴晓娟 and 江冬梅

Abstract

针对视频监控系统,提出了一种改进的基于区域的运动目标分割方法。与传统方法相比,在运动检测阶段,结合时域差分和背景差分进行运动检测,并通过自适应方法进行背景更新;在差分图像二值化时,采用自适应阈值方法来代替传统的手工确定阈值法;对于区域分割,使用基于加权平方欧式距离的均值聚类算法代替传统的均值聚类算法。实验结果表明该改进方法比传统方法具有更好的实时性、鲁棒性和有效性

Topics: 背景差分, 自适应阈值, 加权k均值聚类, 运动估计
Year: 2004
OAI identifier: oai:ir.sia.cn/:173321/3028
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