Memory-enhanced appearance-motion consistency framework for video anomaly detection

• Published in: Computer communications Vol. 216; pp. 159 - 167
• Main Authors: Ning, Zhiyuan, Wang, Zile, Liu, Yang, Liu, Jing, Song, Liang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.02.2024
• Subjects: Channel attention; Consistency framework; Deep learning; Intelligent surveillance; Memory network; Video anomaly detection; Consistency framework; Deep learning; Video anomaly detection; Memory network; Channel attention; Intelligent surveillance

Modern network communication systems extensively utilize video data for various applications, creating a pressing need for efficient Video Anomaly Detection (VAD) mechanisms. The essence of VAD lies in the detection of discrepancies in the appearance-motion dynamics of normal and abnormal events. Ho...