HCMT: A Novel Hierarchical Cross-Modal Transformer for Recognition of Abnormal Behavior

Enhancing video recognition systems with advanced abnormal behavior recognition technologies is crucial for school safety and campus security. Traditional methods primarily rely on visual data and often fail to recognize complex behaviors due to intricate backgrounds. Similarly, traditional audio pr...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Hai Chuan Liu, Anis Salwa Mohd Khairuddin, Joon Huang Chuah, Xian Min Zhao, Xiao Dan Wang, Li Ming Fang
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Video recognition systems campus abnormal behaviors visual and audio branches hierarchical cross-modal transformer audio temporal spectrogram transformer
Online Access:	https://ieeexplore.ieee.org/document/10723307/