A video anomaly detection method with mask convolution and channel attention

Dawei Yang; Zhiquan Liu; Haiyan Hao

doi:10.1117/12.2675188

25 May 2023 A video anomaly detection method with mask convolution and channel attention

Dawei Yang, Zhiquan Liu, Haiyan Hao

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126361M (2023) https://doi.org/10.1117/12.2675188
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

Aiming at the problem of Insufficient feature extraction for data sets in video anomaly detection, an enhanced detection method combining masked convolution and channel attention is proposed. The auto-encoder structure is adapted, and a mask convolution module and a channel attention module are embedded in the memory model. The effectiveness of the proposed method is demonstrated by comparing the results of the method and the original method.

Citation Download Citation

Dawei Yang, Zhiquan Liu, and Haiyan Hao "A video anomaly detection method with mask convolution and channel attention", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126361M (25 May 2023); https://doi.org/10.1117/12.2675188

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KEYWORDS

Convolution

Video

Education and training

Data modeling

Image restoration

Feature extraction

Video surveillance

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