Article

Hybrid 3D-CNN, Bi-LSTM, and Transformer-Based Framework for Anomaly Detection of Human Behaviour in Video Surveillance with Adaptive Error Minimization

2026-08-26

Abstract excerpt

<title>Abstract</title> <p>In real surveillance applications, video cameras generate large volumes of data, making manual monitoring impractical. Automated anomaly detection is therefore critical, but anomalous events are rare, context-dependent, and diverse, ranging from violence and theft to trespassing. Many existing solutions are problematic because they produce high false positive rates, resulting in nuisanc...

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Literature Corpus work: e8735d0c-da89-5061-b89b-944b0392402b
DOI: 10.21203/rs.3.rs-10444893/v1

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