… 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 …

… 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 … applications such as video
surveillance is continual learning. … online anomaly detection method for surveillance videos using …

… 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 …

… for improving detection performance in … detect single-scene video anomalies in real-time.
This work starts by highlighting the over-view of deep learning-based video anomaly detection. …

… 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 …

… action recognition and anomaly detection datasets, we list the total video numbers, class …
general anomaly detection and video classification accuracy for specific anomaly detection. …

… As the environment is uncertain and dynamic, the surveillance turns out to … anomaly
identification in the video surveillance is a difficult issue because of spilling, video noise, anomalies, …

… This paper uses a large-scale video anomaly detection dataset … video from fixed angle street
surveillance cameras. It has 437 videos from 12 different backgrounds, with 130 anomalous …

… 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. …