计算机技术与发展2012，Vol.22Issue(9)：239-242,4.
基于视频监控参考量的异常行为检测研究
Abnormal Behavior Detection Research Based on Reference Amount of Video Surveillance
摘要
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.关键词
视频监控/监控参考量/分类/异常行为检测Key words
video surveillance/reference to the amount of monitoring/classification/abnormal behavior detection分类
信息技术与安全科学引用本文复制引用
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,2012,22(9):239-242,4.基金项目
广东省自然科学基金项目(9151009001000043) （9151009001000043）
广东省教育部产学研项目(2011A090200068) （2011A090200068）
