Video anomaly detection system using deep convolutional and recurrent models

• Published in: Results in engineering Vol. 18; p. 101026
• Main Authors: Qasim, Maryam, Verdu, Elena
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2023; Elsevier
• Subjects: Anomaly detection; CNN; Deep learning; ResNet; Simple recurrent unit (SRU); UCF-Crime; Video surveillance; Deep learning; CNN; UCF-Crime; Video surveillance; Anomaly detection; Simple recurrent unit (SRU); ResNet

Automatic identification of anomalies in video surveillance is an interesting research field. Even though interactive multimedia anomaly detection algorithms have been developed, it is still hard for video surveillance to find unusual things like illegal activities and crimes. In this study, a deep...