Spatio-Temporal AutoEncoder for Video Anomaly Detection

Abstract

Anomalous events detection in real-world video scenes is a challenging problem due to the complexity of "anomaly" as well as the cluttered backgrounds, objects and motions in the scenes. Most existing methods use hand-crafted features in local spatial regions to identify anomalies. In this paper, we propose a novel model called Spatio-Temporal AutoEncoder… (More)
DOI: 10.1145/3123266.3123451

Topics

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