[1]李晓东 凌捷.基于视频监控参考量的异常行为检测研究[J].计算机技术与发展,2012,(09):239-242.
　LI Xiao-dong,LING Jie.Abnormal Behavior Detection Research Based on Reference Amount of Video Surveillance[J].,2012,(09):239-242.
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基于视频监控参考量的异常行为检测研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年09期
页码:
239-242
栏目:
安全与防范
出版日期:
1900-01-01

文章信息/Info

Title:
Abnormal Behavior Detection Research Based on Reference Amount of Video Surveillance
文章编号:
1673-629X（2012）09-0239-04
作者:
李晓东 凌捷
广东工业大学计算机学院
Author(s):
LI Xiao-dong;  LING Jie
Department of Computer, Guangdong University of Technology
关键词:
视频监控; 监控参考量; 分类; 异常行为检测
Keywords:
video surveillance;  reference to the amount of monitoring ;  classification ;  abnormal behavior detection
分类号:
TP309
文献标志码:
A
摘要:
为了解决传统算法难以检测一般动态场景情形下人体运动目标的问题，文中提出了一种新的人体运动异常行为的检测方法，该方法组合利用视频监控各个的参考量。文中针对视频序列中人的行为进行分析，目的是检测出人的异常行为，具体涉及：人体运动目标的检测、跟踪与提取，异常行为检测等。文中阐述了异常行为检测的相关概念，介绍了视频监控参考量各个参数的计算方法，探讨了异常行为检测与分类技术的关系。结合异常行为检测与分类的相似性，提出了基于视频监控参考量的算法的异常行为检测方法，给出了其计算方法，并确定了检测的过程，分析该方法的特点和优势
Abstract:
In order to solve the traditional algorithm is difficult to detect a human moving target in the case of dynamic scenes , this paper proposes a new human motion abnormal behavior detection method. The method combines the use of video monitoring each of the reference amount , analyzes the video sequence into the behavior , for the purpose of the abnormal behavior to detect discrepancies , specifically related to ： human moving target detection, tracking and extraction, abnormal behavior detection. It elaborated the concept of abnormal behavior detection, and introduced the method of calculating the various parameters referenced to the amount of video surveillance. The algorithm combines the advantages of detection and classification of abnormal behavior and the similarity, and made reference to the amount of video-based surveillance of aberrant behavior detection algorithm, which is calculated is given, and to determine the detection process, analysising of the characteristics and advantages of this method

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备注/Memo

备注/Memo:
广东省自然科学基金项目（9151009001000043）;广东省教育部产学研项目（2011A090200068）李晓东（1985-），男，硕士研究生，主要研究领域为网络与信息安全；凌捷，博士，教授，主要研究领域为网络与信息安全技术
更新日期/Last Update: 1900-01-01