#Crowd Analytics

Transformer-Based Vision Architectures (ViT) in Video Surveillance: Self-Attention Mechanisms vs. Convolutional Kernels for Dense Crowd Scene Understanding

A rigorous mathematical comparison between Vision Transformers (ViT) and Convolutional Neural Networks (CNNs) in video surveillance, detailing Multi-Head Self-Attention, patch projection, quadratic computational complexity, and edge Swin-Transformer adaptations.