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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Bibliographic Details

Published in:	IEEE International Conference on Advanced Video and Signal Based Surveillance (Online) pp. 1 - 8
Main Authors:	Lu, Yiwei, Kumar, K Mahesh, Nabavi, Seyed shahabeddin, Wang, Yang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2019
Subjects:	Adaptive optics Anomaly detection Feature extraction Predictive models Testing Training Videos
ISSN:	2643-6213
Online Access:	Get full text
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