电子学报2017，Vol.45Issue(10)：2355-2361,7.DOI:10.3969/j.issn.0372-2112.2017.10.007
一种快速鲁棒的视频序列运动目标检测方法
An Approach to Fast and Robust Detecting of Moving Target in Video Sequences
摘要
Abstract
Sparse representation is one of effective methods in dealing with the moving object detection.However,the quickness and robustness of object detection are far from being solved in the existing methods.In this paper,a fast and robust moving object detection model based on the maximum posteriori probability is proposed,and a two-stage detection algorithms is designed.At the first stage,sparse coefficient is quickly solved by using coding transfer;At the second stage,based on spatial continuity structure,moving object detection is achieved by using graph cut.The experimental results on several challenging image sequences show that the proposed method has better performance than the existing classical moving object detection algorithms in rapidity and robustness.关键词
运动目标检测/稀疏表示/编码迁移/图切Key words
moving object detection/sparse representation/coding transfer/graph cut分类
信息技术与安全科学引用本文复制引用
秦晓燕,袁广林,李从利,张旭..一种快速鲁棒的视频序列运动目标检测方法[J].电子学报,2017,45(10):2355-2361,7.基金项目
安徽省自然科学基金(No.1508085QF114,No.1608085QF144) （No.1508085QF114,No.1608085QF144）
国家自然科学基金(No.61379105) （No.61379105）
中国博士后科学基金(No.2014M562535) （No.2014M562535）
