Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …

Multimedia anomaly datasets play a crucial role in automated surveillance. They have a
wide range of applications expanding from outlier objects/situation detection to the detection …

Variational Autoencoder (VAE) has been widely and successfully used in learning coherent
latent representation of data. However, the lack of interpretability in the latent space …

Anomaly detection plays an increasingly important role in video surveillance and is one of
the issues that have attracted various communities, such as computer vision, machine …

Anomaly detection is an area of video analysis and plays an increasing role in ensuring
safety, preventing risks, and guaranteeing quick response in intelligent surveillance …

Anomaly detection aims at identifying images that deviate significantly from the norm. We
focus on algorithms that embed the normal training examples in space and, when given a …

Video anomaly detection and localization is one of the key components of the intelligent
video surveillance system. Video anomaly detection refers to the process of spatiotemporal …

Unsupervised anomaly detection models are crucial for the efficiency of industrial
applications. However, frequent false alarms hinder the widespread adoption of …

The task of anomaly detection in surveillance videos is challenging due to the sparsity and
diversity. In order to perceive more discriminative features and further improve performance …

The use of surveillance cameras is a common solution that addresses the need to provide
security and manage urban traffic that arises due to the increasing population in cities. As …