Anomaly detection in surveillance videos based on H265 and deep learning
International Journal of Advanced Technology and Engineering Exploration · 2022
Different methodologies in the literature describe anomaly activities as "the occurrence of variance in regular patterns" [1].Abnormal event recognition in surveillance recordings has a wide range of applications, including crime prevention, automated intelligent visual monitoring, and traffic security [3].Video anomalous identification was formerly thought to be a one-class classification challenge due to the scarcity of real-world anomalous incidents [4-6] i.e., the classifier is trained on normal videos, and when Research