… 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 …

… 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 …

… Many algorithms have been proposed in this area for object detection and tracking related …
in anomalies. In this review paper a comparative study of different anomaly detection methods …

… 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 …

… Anomaly detection in video surveillance is a highly … to automatically detect anomalous events
in streaming videos. Due to … of anomaly detection, such as of network anomaly detection, …

… 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. …

… aimed at FE for detecting anomalies on surveillance video. The probability design was studied
… The framework accurately detected as well as localized anomalies on surveillance video …

… However, Closed Circuit Television (CCTV) cameras produce a huge amount of video
data. Effective surveillance can reveal anomalous events in these videos. Detecting crime …

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

… anomalous events. Our system is trained and tested against a large-scale UCF-Crime anomaly
… untrimmed real-world surveillance videos and splits into 950 anomaly events and 950 …