计算机应用研究2011，Vol.28Issue(12)：4726-4729,4.DOI:10.3969/j.issn.1001-3695.2011.12.087
一种改进的自适应阈值前景提取方法
Improved approach for extracting moving targets based on self-adaptive threshold
摘要
Abstract
In order to solve the problem of target broken during the video processing, this paper proposed an improved ap-proach for extracting moving targets based on self-adaptive threshold. Once obtained the background subtraction image by non-modeling background model, built a novel environment noise distribution map as the environment noise was relatively stable. With the help of this map, filtered the environment noise in the background subtraction image. It obtained the adaptive thre-shold by using the optimal image threshold algorithm through the filtered image, and extracted the moving targets finally. Ex-periment results show that the proposed approach here can apparently improve the effect of moving targets extraction.关键词
自适应阈值/环境噪声分布图/背景差/前景提取Key words
self-adaptive threshold/ environment noise distribution map/ background subtraction/ moving targets extracting/分类
信息技术与安全科学引用本文复制引用
胡珂立,赵鲁阳,林振华,王营冠..一种改进的自适应阈值前景提取方法[J].计算机应用研究,2011,28(12):4726-4729,4.基金项目
国家重大专项资助项目(2009ZX03006-001-02) （2009ZX03006-001-02）
中国科学院知识创新项目(Y15YQA1001) （Y15YQA1001）
