Modeling Representation of Videos for Anomaly Detection using Deep Learning: A Review

This review article surveys the current progresses made toward video-based anomaly detection. We address the most fundamental aspect for video anomaly detection, that is, video feature representation. Much research works have been done in finding the right representation to perform anomaly detection...

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Veröffentlicht in:	arXiv.org 2015-05
Hauptverfasser:	Yong Shean Chong, Tay, Yong Haur
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anomalies Deep learning False alarms Human motion Modelling Moving object recognition Representations Video data
Online-Zugang:	Volltext
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