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cs.CV2025
Human-Centric Anomaly Detection in Surveillance Videos Using YOLO-World and Spatio-Temporal Deep Learning
Mohammad Ali Etemadi Naeen, Hoda Mohammadzade, Saeed Bagheri Shouraki
Anomaly detection in surveillance videos remains a challenging task due to the diversity of abnormal events, class imbalance, and scene-dependent visual clutter. To address these i…
cs.CV2024
Video alignment using unsupervised learning of local and global features
Niloufar Fakhfour, Mohammad ShahverdiKondori, Sajjad Hashembeiki +2
In this paper, we tackle the problem of video alignment, the process of matching the frames of a pair of videos containing similar actions. The main challenge in video alignment is…