CAT-Free: Multi-View Pedestrian Localization without Calibration, Annotations, or Target-Scene Training via Adaptive Geometric Filtering

arXiv:2609.34302 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-30

Code: https://github.com/ultralytics/ultralytics

Terminology

• Calibration — 36× in this paper · explained in 7 episodes
• Consistency — 16× in this paper · explained in 3 episodes
• Alignment — 9× in this paper · explained in 1 episode
• Accuracy — 8× in this paper · explained in 1 episode
• Ablation — 6× in this paper · explained in 1 episode
• Angular Error — 4× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Temporal consistency — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes

Sources

• Unsupervised Multi-view Pedestrian Detection
• Lifting Multi-View Detection and Tracking to the Bird's Eye View
• Calibration-Free 3D Multi-Camera People Tracking for Indoor Environment
• VGGT-$\Omega$

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