arXiv Artificial Intelligence

On-the-Fly Homographies Calibration for Multi-Camera Tracking

On-the-Fly Homographies Calibration for Multi-Camera Tracking

Quick summary

arXiv:2609.18582v1 Announce Type: cross Abstract: Precise multi-camera tracking traditionally relies on rigorous 3D site calibration, yet this requirement is often operationally impossible in large-scale deployments. Privacy regulations frequently prohibit recording video for offline calibration; limited bandwidth precludes synchronizing high-resolution streams from hundreds of cameras; and covering immense physical sites with calibration targets is logistically infeasible. We present a multi-camera homography calibration system designed to overcome these barriers through "on-the-fly" geometri

Key takeaways

  • arXiv:2609.18582v1 Announce Type: cross Abstract: Precise multi-camera tracking traditionally relies on rigorous 3D site calibration, yet this requirement is often operationally impossible in large-scale deployments.
  • Privacy regulations frequently prohibit recording video for offline calibration; limited bandwidth precludes synchronizing high-resolution streams from hundreds of cameras; and covering immense physical sites with calibration targets is logistically infeasible.
  • We present a multi-camera homography calibration system designed to overcome these barriers through "on-the-fly" geometri

Why it matters

The significance is not only the legal text but how it changes product design. Decisions around “On-the-Fly Homographies Calibration for Multi-Camera Tracking” may reshape data collection, model training, output accountability and market access.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗