Closed-Circuit Television Data as an Emergent Data Source for Urban Rail Platform Crowding Estimation

arXiv:2508.03749 · cs.CV, eess.IV · Submitted 2025-08-03 · Read on arXiv

cs.CV, eess.IV

Submitted: 2025-08-03

Updated: 2026-09-20

Terminology

• Accuracy — 20× in this paper · explained in 1 episode
• Calibration — 13× in this paper · explained in 7 episodes
• Transformer — 12× in this paper · explained in 2 episodes
• Computer Vision — 10× in this paper
• Aggregation — 8× in this paper · explained in 1 episode
• Robustness — 6× in this paper · explained in 5 episodes
• Washington Metropolitan Area Transit Authority — 5× in this paper
• Automatic Fare Collection — 4× in this paper
• Data Augmentation — 4× in this paper · explained in 7 episodes
• F1 Score — 3× in this paper · explained in 3 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Core — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Slicing Aided Hyper Inference — 2× in this paper
• You Only Look Once — 2× in this paper
• Adam — 1× in this paper · explained in 2 episodes
• Automatic Vehicle Location — 1× in this paper
• Auxiliary Point Guidance Crowd Counting — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Light Gradient Boosted Machines — 1× in this paper
• Mixed-Integer Linear Programming — 1× in this paper
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes

Sources

• Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance
• RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer
• Rethinking Atrous Convolution for Semantic Image Segmentation

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