计算机技术与发展2017，Vol.27Issue(1)：20-24,5.DOI:10.3969/j.issn.1673-629X.2017.01.005
基于滑动窗非负矩阵分解的运动目标检测方法
Moving Target Detection Method Based on Non-negative Matrix Factorization of Sliding Window
摘要
Abstract
The algorithms of detecting the moving objects in the intelligent video surveillance system are mainly studied. The Non-nega-tive Matrix Factorization ( NMF) algorithm is introduced into the moving target detection algorithm for modeling the background of a video sequences,and the background subtraction method is used to obtain the moving target by comparing the differences of the current video frame and the background model. In order to solve the problem of the NMF algorithm with a batch process,a moving target detec-tion algorithm of NMF based on sliding window is put forward,which controls the size of the decomposed matrix in NMF matrix decom-position model by adjusting the length of the sliding window. The proposed algorithm can reduce the computation and space complexity, and to some extent,it can increase non-memory characteristic of the model. The experiments show that the proposed method can adap-tively change the background model and has better detection effect when there is light change and small moving target in video scene.关键词
非负矩阵分解/运动目标检测/背景差分/滑动窗Key words
non-negative matrix factorization/moving object detection/background difference/sliding window分类
信息技术与安全科学引用本文复制引用
祝加祥,胡鹏程,何璇,王营冠..基于滑动窗非负矩阵分解的运动目标检测方法[J].计算机技术与发展,2017,27(1):20-24,5.基金项目
安徽省科技攻关强警专项(1101b0403030) （1101b0403030）
中国科学院上海微系统与信息技术横向研发基金课题 （）
