• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (12): 98-104.

• 论文 • 上一篇    下一篇

基于综合背景提取方法与阴影抑制的智能监控系统

石红波1,黄山1,2,张洪斌2,田坤3   

  1. (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;
    3.成都市建筑材料工业设计研究院,四川 成都 610065)
  • 收稿日期:2011-11-28 修回日期:2012-02-23 出版日期:2012-12-25 发布日期:2012-12-25

Intelligent Surveillance System Based on Comprehensive Background Extraction and Shadow Suppression

SHI Hongbo1,HUANG Shan1,2,ZHANG Hongbin2,TIAN Kun3   

  1. (1.Department of Automation,School of Electrical Engineering
    and Information,Sichuan University,Chengdu 610065;
    2.School of Computer Science,Sichuan University,Chengdu 610065;
    3.Chengdu Design and Research Institute of Building Materials Industry,Chengdu 610065,China)
  • Received:2011-11-28 Revised:2012-02-23 Online:2012-12-25 Published:2012-12-25

摘要:

为实现智能监控中有效的目标检测,提出了一种综合的动态背景提取和阴影去除方法。该方法应用多层次信息对混合高斯背景模型进行更新以获取高质量的彩色场景背景;同时,在前景提取过程中,结合RGB和HSI彩色信息对像素进行递进式分类,实现对阴影的去除。以此为基础实现的智能监控系统,实现了目标的跟踪与异常行为检测。经过不同场景的实验证明,本文所提方法能够满足实际应用的要求,具有良好的性能。

关键词: 智能监控, 背景提取, 阴影去除, 异常行为

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.

Key words: intelligent surveillance;background extraction;shadow removal;abnormal behavior