Video anomaly detection is a very challenging task because of the rarity, openness, and the
definition of the anomalies. Researchers pay more attention to the characteristics of …

As a significant research hotspot in the field of computer vision, video anomaly detection
plays an essential role in ensuring public safety. Anomaly detection remains a challenging …

Identifying suspicious activities or behaviors is essential in the domain of Anomaly Detection
(AD). In crowded scenes, the presence of inter-object occlusions often complicates the …

Anomaly detection in video streams with imbalanced data and real-time constraints is a
challenging task of computer vision. This paper proposes a novel real-time approach for real …

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

Surveillance footage can catch a wide range of realistic anomalies. This research suggests
using a weakly supervised strategy to avoid annotating anomalous segments in training …

Video anomaly detection is challenging because abnormal events are unbounded, rare,
equivocal, irregular in real scenes. In recent years, transformers have demonstrated …

Video anomaly detection aims to detect the segments containing abnormal events from
video sequence, which is a current research hotspot due to the importance in maintaining …

Camera surveillance is widely used in residential areas, highways, schools and other public
places. The monitoring and scanning of sudden abnormal events depend on humans …

Anomaly detection is critically important for intelligent surveillance systems to detect in a
timely manner any malicious activities. Many video anomaly detection approaches using …