计算机工程与科学2012，Vol.34Issue(12)：98-104,7.DOI:10.3969/j.issn.1007-130X.2012.12.016
基于综合背景提取方法与阴影抑制的智能监控系统
Intelligent Surveillance System Based on Comprehensive Background Extraction and Shadow Suppression
石红波 1黄山 1张洪斌 2田坤2
作者信息
- 1. 四川大学电气信息学院自动化系,四川成都610065
- 2. 四川大学计算机学院,四川成都610065
- 折叠
摘要
Abstract
To achieve effective object detection in the intelligent surveillance, a comprehensive dynamic background difference and shadow removal method is proposed. Multi-level information is adopted to update the Gaussian Mixed Model to acquire color background image with high quality. Shadow is removed by a progressive pixel classification with proper RBG, Hue and Saturation information while extracting the foreground. Based on these results, object tracking and abnormal behavior detection are realized in an intelligent surveillance system. The experimental results with different scenes show that our method could satisfy the demand of practical applications with good performance.关键词
智能监控/背景提取/阴影去除/异常行为Key words
intelligent surveillance/background extraction/shadow removal/abnormal behavior分类
信息技术与安全科学引用本文复制引用
石红波,黄山,张洪斌,田坤..基于综合背景提取方法与阴影抑制的智能监控系统[J].计算机工程与科学,2012,34(12):98-104,7.
