2023
DOI: 10.48550/arxiv.2301.00114
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Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions

Abstract: The existing methods for video anomaly detection mostly utilize videos containing identifiable facial and appearance-based features. The use of videos with identifiable faces raises privacy concerns, especially when used in a hospital or community-based setting. Appearance-based features can also be sensitive to pixel-based noise, straining the anomaly detection methods to model the changes in the background and making it difficult to focus on the actions of humans in the foreground. Structural information in … Show more

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