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Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions
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.
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos
Our work differs from most existing approaches for video anomaly detection that focus on appearance-based features, which can put the privacy of a person at risk and is also susceptible to pixel-based noise, including illumination and viewing direction.
Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification
The experimental results show that VAAKELM consistently performs better than the existing classifiers, making it a viable alternative for the OCC task.
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