Multimedia anomaly datasets play a crucial role in automated surveillance. They have a
wide range of applications expanding from outlier objects/situation detection to the detection …

Digital visual data afford psychologists with exciting research possibilities. It becomes
possible to see real-life interactions in real time and to be able to analyze this behavior in a …

Anomaly detection is an essential but challenging task. Existing DNN-based approaches
tend to ignore the impact of network history state on extracting spatio-temporal correlations …

Anomaly detection has significant importance for the development of autonomous
monitoring systems. Real-world anomalous events are complicated due to diverse human …

Video Surveillance Systems (VSS) are widely utilized in public and private areas to increase
public safety, such as shopping malls, markets, banks, hospitals, educational institutions …

In many places, like museums, banks, and airports, network cameras have taken the place
of outdated analogue cameras as a result of advancements in chip technology and the …

Automated video surveillance frameworks quickly distinguish surprising and basic
circumstances in a packed climate that would help to pursue sufficient choices for security …

Anomaly detection in the video has recently gained attention due to its importance in the
intelligent surveillance system. Even though the performance of the state-of-art methods has …

With the increasing number of video surveillance cameras in public buildings, it has become
challenging, yet significant to detect abnormal pedestrian behaviors in crowd management …

Video anomaly detection and localization is one of the key components of the intelligent
video surveillance system. Video anomaly detection refers to the process of spatiotemporal …