Pose‐driven human activity anomaly detection in a CCTV‐like environment
Abstract Human activity anomaly detection plays a crucial role in the next generation of surveillance and assisted living systems. Most anomaly detection algorithms are generative models and learn features from raw images. This work shows that popular state‐of‐the‐art autoencoder‐based anomaly detec...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-02-01
|
| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12664 |