ViTBN: A Vision Transformer with Batch Normalization for Crowd Behaviour and Anomaly Detection in Surveillance Videos
Intelligent crowd behaviour analysis is critical for modern video surveillance systems to enhance public safety and enable timely anomaly detection. This study presents ViTBN, a vision transformer-based framework augmented with batch normalization to improve feature robustness and the stability of training. The propose...