Anomaly detection in video surveillance: a supervised inception encoder approach
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18604-2.pdf
Reference38 articles.
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3. Chong YS, Tay YH (2017) Abnormal event detection in videos using spatiotemporal autoencoder. In: Cong F, Leung AC, Wei Q (eds) Advances in neural networks - ISNN 2017 - 14th International symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part II. Lecture Notes in Computer Science, vol 10262, pp 189–196. https://doi.org/10.1007/978-3-319-59081-3_23
4. Li N, Chang F, Liu C (2021) Spatial-temporal cascade autoencoder for video anomaly detection in crowded scenes. IEEE Trans Multim 23:203–215. https://doi.org/10.1109/TMM.2020.2984093
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