Video anomaly detection is essential to distinguish abnormal events in large volumes of
surveillance video and can benefit many fields such as traffic management, public security …

Video anomaly detection refers to the identification of abnormal behaviors that do not
conform to normal patterns. Reconstruction of video frames based on auto-encoder is the …

Video anomaly detection is crucial for behavior analysis, which has witnessed continuous
progress in recent years with the auto-encoder based reconstruction framework. However, in …

Anomaly event detection is a video surveillance technology automatically analyzing video
sequences without manual intervention by employing machine learning and computer vision …

Auto-encoder has been widely used in video anomaly detection which aims to detect
abnormal segments in video surveillance. However, the previous auto-encoder methods …

Video anomaly detection is an extremely challenging task in the field of intelligent
surveillance analysis. In this paper, we propose a video anomaly detection method without …

The surveillance applications generate enormous video data and present challenges to
video analysis for huge human labor cost. Reconstruction-based convolutional …

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 …

Video anomaly detection is important in various practical applications. This paper proposes
an unsupervised method for video anomaly detection. In the core of the method lies a new …

The process of automatically detecting abnormal video patterns in the intelligent
surveillance framework is known as video anomaly detection. However, video anomaly …