Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple Yet Efficient Framework Based on Masked Autoencoder

Xiangyu Huang; Caidan Zhao; Chenxing Gao; Lvdong Chen; Zhiqiang Wu

doi:10.1109/ICASSP49357.2023.10094296

Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple Yet Efficient Framework Based on Masked Autoencoder

Xiangyu Huang, Caidan Zhao, Chenxing Gao, Lvdong Chen, Zhiqiang Wu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728163277
DOIs	https://doi.org/10.1109/ICASSP49357.2023.10094296
State	Published - 2023
Externally published	Yes
Event	48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 - Rhodes Island, Greece Duration: Jun 4 2023 → Jun 10 2023

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2023-June
ISSN (Print)	1520-6149

Conference

Conference	48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
Country/Territory	Greece
City	Rhodes Island
Period	6/4/23 → 6/10/23

ASJC Scopus Subject Areas

Software
Signal Processing
Electrical and Electronic Engineering

Keywords

AutoEncoder
unsupervised learning
video anomaly detection
vision transformer

Access to Document

10.1109/ICASSP49357.2023.10094296

Cite this

Huang, X., Zhao, C., Gao, C., Chen, L., & Wu, Z. (2023). Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple Yet Efficient Framework Based on Masked Autoencoder. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2023-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP49357.2023.10094296

Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple Yet Efficient Framework Based on Masked Autoencoder. / Huang, Xiangyu; Zhao, Caidan; Gao, Chenxing et al.
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2023-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Huang, X, Zhao, C, Gao, C, Chen, L & Wu, Z 2023, Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple Yet Efficient Framework Based on Masked Autoencoder. in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2023-June, Institute of Electrical and Electronics Engineers Inc., 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, Rhodes Island, Greece, 6/4/23. https://doi.org/10.1109/ICASSP49357.2023.10094296

Huang X, Zhao C, Gao C, Chen L, Wu Z. Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple Yet Efficient Framework Based on Masked Autoencoder. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP49357.2023.10094296

Huang, Xiangyu ; Zhao, Caidan ; Gao, Chenxing et al. / Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection : A Simple Yet Efficient Framework Based on Masked Autoencoder. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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title = "Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple Yet Efficient Framework Based on Masked Autoencoder",

keywords = "AutoEncoder, unsupervised learning, video anomaly detection, vision transformer",

author = "Xiangyu Huang and Caidan Zhao and Chenxing Gao and Lvdong Chen and Zhiqiang Wu",

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M3 - Conference contribution

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T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

BT - ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings

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Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple Yet Efficient Framework Based on Masked Autoencoder

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this