Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments

Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments

Abstract The emerging density in today’s urban environments requires a strong multi-camera architecture for real-time abnormality detection and behavior analysis. Most of the existing methods tend to fail in detecting unusual behaviors due to occlusion, dynamic scene changes and high computational i...

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Main Authors: Sai Babu Veesam, B. Tarakeswara Rao, Zarina Begum, R. S. M. Lakshmi Patibandla, Arvin Arun Dcosta, Shonak Bansal, Krishna Prakash, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Anomaly detection
Graph attention networks
Multi-Camera surveillance
Reinforcement learning
Spatiotemporal learning
Online Access:https://doi.org/10.1038/s41598-025-12388-7
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https://doi.org/10.1038/s41598-025-12388-7

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