Video Anomaly Detection Based on Skipping Frames to Generate Pseudo-Anomalies

Author:

BAO Zhenshan,Liao Chunlin,Zhang Wenbo

Publisher

Elsevier BV

Reference55 articles.

1. Real-world anomaly detection in surveillance videos;C Waqas Sultani;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2018

2. Claws: Clustering assisted weakly supervised learning with normalcy suppression for anomalous event detection;Muhammad Zaigham Zaheer;European Conference on Computer Vision,2020

3. Future frame prediction for anomaly detection -a new baseline;W Liu;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2018

4. A revisit of sparse coding based anomaly detection in stacked rnn framework;W Luo;IEEE,2017

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