V2AnomalyVec: Deep Discriminative Embeddings for Detecting Anomalous Activities in Surveillance Videos
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DOI: 10.1109/tcss.2021.3119957
Abstract: Understanding patterns in surveillance videos is always challenging due to the rapid movement of the crowd, occlusions, cluttered backgrounds, intraclass variations, and interclass similarities existing among normal and abnormal event classes. In the case of… read more here.
Keywords: anomalous events; detecting anomalous; deep discriminative; surveillance videos ... See more keywords