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 …

The increase in the deployment of surveillance camera in outdoor and indoor settings have
resulted in a growing demand for intelligent systems that can accurately detect and …

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 …

Detecting anomalies in videos is a complex problem with a myriad of applications in video
surveillance. However, large and complex datasets that are representative of real-world …

Anomaly detection has attracted considerable search attention. However, existing anomaly
detection databases encounter two major problems. Firstly, they are limited in scale …

Video Surveillance Systems (VSS) are widely utilized in public and private areas to increase
public safety, such as shopping malls, markets, banks, hospitals, educational institutions …

Anomaly analysis is an important component of any surveillance system. In recent years, it
has drawn the attention of the computer vision and machine learning communities. In this …

Nowadays, video analysis is an important research area especially from a security point of
view. The discovery of unusual activities is important because it is a difficult task for humans …

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 …

Videos represent the primary source of information for surveillance applications. Video
material is often available in large quantities but in most cases it contains little or no …