Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection

Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection

Abstract It is important in the rising demands to have efficient anomaly detection in camera surveillance systems for improving public safety in a complex environment. Most of the available methods usually fail to capture the long-term temporal dependencies and spatial correlations, especially in dy...

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Bibliographic Details
Main Authors: Sai Babu Veesam, Aravapalli Rama Satish, Sreenivasulu Tupakula, Yuvaraju Chinnam, Krishna Prakash, Shonak Bansal, Mohammad Rashed Iqbal Faruque
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Anomaly detection
Temporal graph attention
Transformer-augmented RNNs
Multimodal fusion
Few-shot learning
Online Access:https://doi.org/10.1038/s41598-025-85822-5
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https://doi.org/10.1038/s41598-025-85822-5

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