摘要
现代监控系统被广泛应用到火车站和机场安检、交通监控和治安维护、国防安全等多个方面,但是传统将人作为视频分析主体的监控系统在处理大量增加的数据视频过程中,已无法保证监控系统的可靠性和高效性。那么如何有效提高视频监控系统的智能化、高效化程度及准确性,是现代需要解决的问题。在此背景下,就以计算机视觉技术为基础,将监控视频中的异常事件检测为主要任务,对如何提高视频异常事件检测的精确性进行了研究。
Modern surveillance system has been widely applied to many aspects of train station and airport security,traffic monitoring and security maintenance,national security,but the traditional human body as a video monitoring system in the data analysis process of a large increase in video monitoring system,has been unable to guarantee the reliability and efficiency of the monitoring system.Then,how to effectively improve the intelligence,accuracy and efficiency of video surveillance system is a problem that needs to be solved.In this context,based on computer vision technology,the detection of abnormal events in surveillance video is the main task,and how to improve the accuracy of video abnormal event detection is studied in this paper.
作者
孙慧
Sun Hui(College of Humanities&Sciences of Northeast Normal University,Changchun Jilin 130117,China)
出处
《信息与电脑》
2017年第20期52-54,共3页
Information & Computer
基金
"监控视频中异常事件检测系统研究"(项目编号:吉教科合字[2015]第571号)
关键词
HMM监控视频
异常事件
检测分析
HMM surveillance video
abnormal events
detection and analysis
