Intelligent surveillance systems must be able to detect anomalies promptly to prevent
malicious activity. It is common for deep learning methods to be used in video anomaly …

In video surveillance, automatic detection of the anomalies is the active research area in
computer technology. Even though various video anomaly detection methods are …

This review article surveys the current progresses made toward video-based anomaly
detection. We address the most fundamental aspect for video anomaly detection, that is …

Anomaly detection is a challenging task in surveillance videos. Nowadays, deep learning-
based approaches have been developed for this issue. Although they achieve good …

Anomalous events occur rarely and are challenging to model. Therefore, automatic
recognition of abnormal activities in surveillance videos is a non-trivial task. Though with the …

Abnormal event detection in surveillance video is very important for intelligent analysis of
video. Most anomalous event detection methods rely on complex feature extraction to …

The automatic detection and recognition of anomalous events in crowded and complex
scenes on video are the research objectives of this paper. The main challenge in this system …

Due to the increasing volume of multimedia content and the need for automated processing,
anomaly identification in surveillance videos is crucial. Deep learning has been …

Today, public areas, such as airports, hospitals, city centers are monitored by surveillance
systems. The widespread use of surveillance systems reduces security concerns while …

In recent times, video surveillance has become indispensable for public security, leveraging
computer vision advancements to analyze and comprehend lengthy video feeds. Anomaly …