… 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 …

… 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 …

… 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 …

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

… 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. …

… first introduced for the anomaly detector to avoid model overfitting and improve generalization
ability. (iv) We re-annotate the largest anomaly detection video dataset with 28K bounding …

… 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 …

… 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. To the best of our knowledge, this is the first work to combine anomaly
detection … , we also attach screenshots of the anomalies detected by our method and share a …