Anomaly detection in videos is a challenging task due to multiple constraints including the
imbalanced nature of anomalies, limited annotated data, and limitation of existing …

Video anomaly detection refers to the detection and identification of events that deviate from
normal behavior, which has a wide range of applications in surveillance video. In this paper …

Anomaly detection in surveillance videos is attracting an increasing amount of attention.
Despite the competitive performance of several existing methods, they lack theoretical …

The rise in crime rates in many parts of the world, coupled with advancements in computer
vision, has increased the need for automated crime detection services. To address this …

Weakly supervised video anomaly detection (VAD) is a significant and challenging task in
the surveillance video analysis field, locating anomalous motion frames using only video …

In this paper, we explore the intriguing effects of JPEG compression as a pre-processing
technique for image classification tasks. Building upon the findings of a previous study by …

Video anomaly detection has been widely applied in various surveillance systems for public
security. However, the existing weakly supervised video anomaly detection methods tend to …

As the main application of intelligent monitoring, video anomaly detection in surveillance
has been well developed but remains challenging. Various types of anomalies promote the …

One of the significant challenges in surveillance anomaly detection research is the scarcity
of surveillance datasets satisfying specific ethical and logistical requirements during the …

Anomalous behavior detection is a challenging research area within computer vision.
Progress in this area enables automated detection of dangerous behavior using …