Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-09738-3.pdf
Reference38 articles.
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3. Ul Amin S, Ullah M, Sajjad M, Cheikh FA, Hijji M, Hijji A, Muhammad K (2022) EADN: an efficient deep learning model for anomaly detection in videos. Mathematics 10(9):1555
4. Wang Y, Liu T, Zhou J, Guan J (2023) Video anomaly detection based on spatio-temporal relationships among objects. Neurocomputing 532:141–151
5. Patrikar DR, Parate MR (2022) Anomaly detection using edge computing in video surveillance system. Int J Multimed Inform Retrieval 11(2):85–110
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