With the development of surveillance video analysis and the increase of security
requirements, video anomaly detection has attracted more and more attention. In the …

Anomaly detection in video surveillance is a highly developed subject that is attracting
increased attention from the research community. There is great demand for intelligent …

Video anomaly detection (VAD) is currently a trending research area within computer vision,
given that anomalies form a key detection objective in surveillance systems, often requiring …

The problem of anomaly detection in video surveillance data has been an active research
topic. The main difficulty of video anomaly detection is due to two different definitions of …

We propose a novel approach for video anomaly detection. Existing video anomaly
detection methods train only on normal frames, with the expectation that the quality of the …

Automatic anomaly detection in real-world video surveillance is still challenging. In this
paper, we propose an autoencoder architecture based on a stacked convolutional LSTM …

With the popularity of surveillance video, people's increased security awareness and
demand for risk warning, video anomaly detection is gradually gaining widespread attention …

Deep learning-based video anomaly detection methods have drawn significant attention in
the past few years due to their superior performance. However, almost all the leading …

Anomaly detection has stayed among the core topics of research in machine learning and
computer vision for decades. Due to its complex nature, limitless possibilities of abnormal …

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 …