Open AccessAnomaly detection in video sequences: A benchmark and computational model
Author(s) -
Wan Boyang,
Jiang Wenhui,
Fang Yuming,
Luo Zhiyuan,
Ding Guanqun
Publication year - 2021
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/ipr2.12258
Subject(s) - anomaly detection , computer science , benchmark (surveying) , convolutional neural network , anomaly (physics) , artificial intelligence , feature (linguistics) , frame (networking) , pattern recognition (psychology) , recurrent neural network , construct (python library) , event (particle physics) , artificial neural network , data mining , machine learning , telecommunications , linguistics , philosophy , physics , geodesy , quantum mechanics , geography , programming language , condensed matter physics