… to deep learning-based video anomaly detection as the research domain is in its early stages…
of video anomaly detection. Hence, in this survey, we present a comprehensive study of the …

… deep learning-based methods to detect the video anomalies … of deep learning models on
video anomaly detection tasks, … video anomaly detection system in various application domains…

… To bridge the existing gaps, we present a novel taxonomy for deep learning based image/video
AD. We highlight the unsupervised approaches owing to their generalizability, …

… machine learning algorithms with various capabilities such as automatic behavior detection
in … focus of researchers in the field of machine learning is deep learning-based methods [12]. …

… research and application of video anomaly detection. Then, we … of video anomaly detection
and the approach of deep learning … video anomaly detection methods proposed non-deep …

… This research line is popular in video anomaly detection [1… Video sequence involves
complex high-dimensional spatial-… function to ensure a faithful prediction of video frames. This …

… His research interests lie in data mining, machine learning and their applications; he has …
Object-centric auto-encoders and dummy anomalies for abnormal event detection in video. …

… -supervised deep learning framework for video anomaly detection in Bank-… video stream of
RGB+D sensor, video segments are created by dividing the video stream into fixed-size video …

… on anomaly detection in video surveillance and also its evolution … involved in anomaly
detection using edge computing. … in deep learning for anomaly detection. The recent surveys on …

… This work starts by highlighting the over-view of deep learning-based video anomaly
detection. A thematic taxonomy that includes four major categories and several sub-categories is …