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 …

Detecting anomalous events in videos is one of the most popular computer vision topics. It is
considered a challenging task in video analysis due to its definition, which is subjective or …

Obtaining videos for surveillance purpose or to use them for future predictions is a
challenging task as a video has a large number of image frames displayed in a sequence …

Anomaly detection in videos is a problem that has been studied for more than a decade.
This area has piqued the interest of researchers due to its wide applicability. Because of this …

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 …

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 …

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 …

The considerable significance of Anomaly Detection (AD) problem has recently drawn the
attention of many researchers. Consequently, the number of proposed methods in this …

Anomaly detection is a popular and vital task in various research contexts, which has been
studied for several decades. To ensure the safety of people's lives and assets, video …

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 …