Future Frame Prediction Using Convolutional VRNN for Anomaly Detection

Anomaly detection in videos aims at reporting anything that does not conform the normal behaviour or distribution. However, due to the sparsity of abnormal video clips in real life, collecting annotated data for supervised learning is exceptionally cumbersome. Inspired by the practicability of gener...

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Vydané v:	IEEE International Conference on Advanced Video and Signal Based Surveillance (Online) s. 1 - 8
Hlavní autori:	Lu, Yiwei, Kumar, K Mahesh, Nabavi, Seyed shahabeddin, Wang, Yang
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2019
Predmet:	Adaptive optics Anomaly detection Feature extraction Predictive models Testing Training Videos
ISSN:	2643-6213
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