中国科学院研究生院学报2013，Vol.30Issue(1)：83-89,7.DOI:10.7523/j.issn.1002-1175.2013.01.013
基于时空惊奇计算的视频异常检测方法
Anomaly detection method in video based on spatio-temporal surprise computation
摘要
Abstract
We propose an anomaly detection method in video based on Bayesian surprise computation. We use the block-matching motion estimation method to extract low-level motion features ( such as magnitude and direction of motion) and then calculate multi-scale histogram of motion vector. We use both spatial surprise and temporal surprise to detect not only " individual abnormal behavior " but also "group abnormal behavior". Experimental results show that our algorithm is robust and applicable and it can be easily implemented.关键词
视觉注意模型/视频分析/贝叶斯惊奇理论/异常检测Key words
visual attention model/ video analysis/ Bayesian theory of surprise/ anomaly detection分类
信息技术与安全科学引用本文复制引用
谢锦生,郭立,陈运必,赵龙..基于时空惊奇计算的视频异常检测方法[J].中国科学院研究生院学报,2013,30(1):83-89,7.基金项目
国家自然科学基金(61071173)资助 （61071173）
