Accurate recognition of human abnormal behaviours using adaptive 3D residual attention network with gated recurrent units (GRU) in the video sequences
Abnormal or violent behaviour by individuals with mental disorders presents significant risks to public safety, necessitating advanced systems capable of detecting such behaviours in real time. Traditional single-sensing methods for human activity recognition often struggle with issues like signal n...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21681163.2024.2429402 |
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