Anomaly detection in video sequences: A benchmark and computational model

• Published in: IET image processing Vol. 15; no. 14; pp. 3454 - 3465
• Main Authors: Wan, Boyang, Jiang, Wenhui, Fang, Yuming, Luo, Zhiyuan, Ding, Guanqun
• Format: Journal Article
• Language: English
• Published: Wiley 01.12.2021
• Subjects: Computer vision and image processing techniques; Data handling techniques; Image recognition; Neural nets; Supervised learning; Video signal processing

Anomaly detection has attracted considerable search attention. However, existing anomaly detection databases encounter two major problems. Firstly, they are limited in scale. Secondly, training sets contain only video‐level labels indicating the existence of an abnormal event during the full video w...