… video anomaly detection dataset consisting of 1900 real-world surveillance videos of 13
different anomalous events and normal activities captured by surveillance cameras. It is by far …

… Anomaly detection in surveillance videos is attracting an … online anomaly detection method
in surveillance videos with … module along with a statistical anomaly detection module, and its …

… First, we design a new algorithm for anomaly detection by introducing a novel feature
extraction network for video surveillance. In contrast, [25] only recasts sparse coding as a neural …

… anomaly detection and much remarkable work has been presented on this topic. However,
the existing approaches for anomaly detection … of anomaly detection in surveillance video, we …

… Video anomaly detection means to find the abnormal behaviour in videos. … Anomaly
detection in video surveillance has received global acceptance and used in different application …

… ] for use in video surveillance due to the variety of objects that may be present in a video
frame. As a result, two main approaches have been developed for video anomaly detection. The …

… Anomaly detection in surveillance videos has been recently … an online anomaly detection
method for surveillance videos … a mechanism which can detect anomalies using only a few …

… -based techniques used in the field of video anomaly detection. Specifically, deep learning-…
detecting abnormal human behavior. Finally, the common challenges in video surveillance …

… anomaly detection in video surveillance and edge computing. In this study, we provide a
review on anomaly detection in video surveillance … in anomaly detection using edge computing. …

… Anomaly detection in surveillance videos has been recently … applications such as video
surveillance is continual learning. … online anomaly detection method for surveillance videos using …