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Leveraging Unsupervised and Self-Supervised Learning for Video Anomaly Detection.

, , , , , and . VISIGRAPP (5: VISAPP), page 132-143. SCITEPRESS, (2023)

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Mining Quantitative Temporal Dependencies Between Interval-Based Streams., , and . DaWaK, volume 11708 of Lecture Notes in Computer Science, page 151-165. Springer, (2019)Utilizing Deep Object Detector for Video Surveillance Indexing and Retrieval., , , and . MMM (2), volume 11296 of Lecture Notes in Computer Science, page 506-518. Springer, (2019)Détection et suivi d'objets mobiles par caméras fixes. (Detection and tracking of moving objects by fixed cameras).. (2021)A testing framework for background subtraction algorithms comparison in intrusion detection context., , , and . AVSS, page 314-319. IEEE Computer Society, (2011)Jitter-Free Registration for Unmanned Aerial Vehicle Videos., , , and . ISVC (1), volume 11844 of Lecture Notes in Computer Science, page 529-539. Springer, (2019)Mining complex temporal dependencies from heterogeneous sensor data streams., , and . IDEAS, page 23:1-23:10. ACM, (2019)Special section on background models comparison., , , and . Comput. Vis. Image Underst., (2014)Perimeter Intrusion Detection by Video Surveillance: A Survey., , , , , and . Sensors, 22 (9): 3601 (2022)A 3D Tracker for Ground-Moving Objects., , and . ISVC (2), volume 8888 of Lecture Notes in Computer Science, page 695-705. Springer, (2014)Unsupervised and Adaptive Perimeter Intrusion Detector., , , , , and . ICIP, page 3621-3625. IEEE, (2022)