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Hesbon Amwayi

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Review Open access Jul 2026

Deep Learning Approaches for Crime Detection in Surveillance Systems: A Comprehensive Review

This research presents a comprehensive review and synthesis of various state-of-the-art deep learning architectures employed in surveillance video-based crime detection and recognition systems, including 3D Convolutional Neural Networks (3D-CNN), Residual Networks (ResNets), Recurrent Neural Networks (RNN), Bidirectional Long- and Short-Term Memory (BiLSTM), Gated Recurrent Units (GRUs), and the integration of attention mechanisms.

Hesbon Amwayi, Jairus Odawa, Cedric Okinda · 0 citations

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