The considerable significance of Anomaly Detection (AD) problem has recently drawn the
attention of many researchers. Consequently, the number of proposed methods in this …

Video anomaly detection aims to detect abnormal segments in a video sequence, which is a
key problem in video surveillance. Based on deep prediction methods, we propose a …

Most video anomaly detection methods discriminate events that deviate from normal
patterns as anomalies. However, these methods are prone to interferences from event …

Anomaly detection in the video is an important research area and a challenging task in real
applications. Due to the unavailability of large-scale annotated anomaly events, most …

Video anomaly detection is an essential and challenging task in the computer vision
community, which aims to automatically detect and localize abnormal events in videos. In …

Anomaly detection in surveillance videos is a challenging computer vision task where only
normal videos are available during training. Recent work released the first virtual anomaly …

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 …

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 this paper, we propose a weakly supervised deep temporal encoding–decoding solution
for anomaly detection in surveillance videos using multiple instance learning. The proposed …

Unsupervised approaches for video anomaly detection may not perform as good as
supervised approaches. However, learning unknown types of anomalies using an …