Automated detection of anomalous events plays an important role in video surveillance
systems in practice. This task, however, requires to deal with three challenging problems of …

Anomalous events detection in real-world video scenes is a challenging problem due to the
complexity of" anomaly" as well as the cluttered backgrounds, objects and motions in the …

This article summarizes research trends on the topic of anomaly detection in video feeds of a
single scene. We discuss the various problem formulations, publicly available datasets and …

Video surveillance systems are used to enhance the public safety and private assets.
Automatic anomaly detection is vital in such surveillance systems to reduce the human labor …

Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …

Millions of surveillance cameras are currently installed in public places around the world,
making it necessary to intelligently analyse the acquired data to detect the occurrence of …

(1) Background: The research area of video surveillance anomaly detection aims to
automatically detect the moment when a video surveillance camera captures something that …

Progress in video anomaly detection research is currently slowed by small datasets that lack
a wide variety of activities as well as flawed evaluation criteria. This paper aims to help move …

In this paper, we propose a deep convolutional neural network (CNN) for anomaly detection
in surveillance videos. The model is adapted from a typical auto-encoder working on video …

The automatic detection and recognition of anomalous events in crowded and complex
scenes on video are the research objectives of this paper. The main challenge in this system …