Anomaly detection plays an important role in surveillance video since it maintains public
safety efficiently with low cost. In current works, anomaly detection methods based on …

Due to the need for increased security measures for monitoring and safeguarding the
activities, video anomaly detection is considered as one of the significant research aspects …

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 …

Video anomaly detection is usually studied by considering the spatial and temporal contexts.
This paper focuses first on spatial context and shows that it can be a fast real-time solution …

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 is the identification of unexpected events. The state–of-the-art algorithms
try to reduce the reconstruction errors of training data, but there is still no guarantee that the …

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

Background In modern intelligent video surveillance systems, automatic anomaly detection
through computer vision analytics plays a pivotal role which not only significantly increases …

The detection of anomalous behaviors in automated video surveillance is a recurrent topic in
recent computer vision research. Depending on the application field, anomalies can present …

Video anomaly detection is the problem of detecting unusual events in videos. The
challenges of this task lie mainly in the following aspects: first, unusual events tend to make …