液晶与显示2011，Vol.26Issue(6)：831-835,5.DOI:10.3788/YJYXS20112606.0831
基于分块背景建模的运动目标检测技术
Moving Objectives Detecting Technology Based on Block Processing of Background Model Establishment
刘翔 1周桢2
作者信息
- 1. 武汉科技大学工程训练中心,湖北武汉430065
- 2. 武汉市广播影视局播送中心,湖北武汉430015
- 折叠
摘要
Abstract
The moving objectives detecting technology in video surveillance system was studied. On the base of analysis and comparison of several target detection algorithm, a way of using block processing method to establish the initial background model was proposed. The method had a good inhibitory effect on the noise in video sequences, and it can overcome the shortcomings of fuzzy and residual shadow caused by mean method; In order to meet the change of background, the three-frames differences method was used to find those pixels that had a significant difference, then these pixels were updated adaptively. Simulation experiment showed that, this method can be used in background subtraction algorithm. The moving targets can be detected rapidly, completely and accurately.关键词
运动目标检测/背景建模/背景更新/背景减除Key words
moving objectives detecting/background modeling/background updating/background subtraction分类
信息技术与安全科学引用本文复制引用
刘翔,周桢..基于分块背景建模的运动目标检测技术[J].液晶与显示,2011,26(6):831-835,5.
