Anomaly detection techniques in surveillance videos
Xiaoli Li, Zemin Cai · 2016
In recent years, a dramatically increasing number of surveillance cameras have been installed to monitor private and public spaces and areas. Video surveillance is seen as an effective way to ensure our security. Therefore, modeling activity patterns and human behaviors for detection or recognition of peculiar event is a critical technology which has attracted remarkable research interest in the last few years. Various methods have been developed to build intelligent vision systems, this article extensively explain the current improvement made toward video-based human abnormal activity detection and wide applications in various fields range from monitoring in public spaces to personal health rehabilitation.