Towards Intelligent Vision Surveillance for Police Information Systems

Author:

Esan Omobayo A.,Osunmakinde Isaac O.

Publisher

Springer International Publishing

Reference17 articles.

1. Sai, D.K., Sahithi, K., Sameera, D.: Detection of abnormality in CCTV footage: computer vision. Eur. J. Mol. Clin. Med. 7(4), 1148–1154 (2020)

2. Hamdi, S., Bouindour, S., Snoussi, H., Wang, T., Abid, M.: End-to-end deep one-class learning for anomaly detection in UAV video stream. J. Imaging 7(90), 1–15 (2021). 10.3390

3. Thomaz, L.A., Jardim, E., da Silva, A.F., da Silva, E.A.B., Netto, S.L., Krim, H.: Anomaly detection in moving-camera video sequences using principal subspace analysis. J. Latex Class Files 14(8), 1–9 (2015)

4. Cropley, J.: Global professional video surveillance equipment market set for third year of near double-digit growth. In: 2019 IHS Market Video Surveillance Intelligence Service (2019)

5. Cui, X., Liu, Q., Gao, M., Metaxas, D.N.: Abnormal detection using interaction ENergy potentials. In: Proceedings of the 25th IEEE International Conference on Computer Vision and Pattern Recognition (2012)

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