Survey of video anomaly detection using self-supervised deep learning
Survey of video anomaly detection using self-supervised deep learning
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods
arXiv paper abstract https://arxiv.org/abs/2111.01604v1
arXiv PDF paper https://arxiv.org/pdf/2111.01604v1.pdf
... Anomalies are one of the main detection targets in surveillance systems, usually needing real-time actions.
... not enough labeled data for abnormalities), semi-supervised anomaly detection approaches have gained interest recently.
... reviews the recent deep-learning based semi-supervised video anomaly detection approaches
... As the selection of a right Deep Neural Network plays an important role ... a quick comparative review on DNNs is prepared first.
... DNNs are reviewed from a spatiotemporal feature extraction viewpoint, customized for video anomaly detection.
... Moreover, some of the state-of-the-art anomaly detection methods, based on their detection strategy, are critically surveyed. ...
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