Reverse erasure guided spatio-temporal autoencoder with compact feature representation for video anomaly detection

Conclusion In conventional video anomaly detection based on deep learning, the deep network is optimized without focus and the similarity between different normal frames is ignored. To alleviate these issues, we designed a dualencoder single-decoder network to reconstruct frames and proposed a train...

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Veröffentlicht in:	Science China. Information sciences Jg. 65; H. 9; S. 194101
Hauptverfasser:	Zhong, Yuanhong, Chen, Xia, Jiang, Jinyang, Ren, Fan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Beijing Science China Press 01.09.2022 Springer Nature B.V
Schlagworte:	Anomalies Computer Science Deep learning Frames (data processing) Information Systems and Communication Service Methods Moop Task complexity Training
ISSN:	1674-733X, 1869-1919
Online-Zugang:	Volltext
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