ICPR26 TRVID competition on Privacy-Preserving Person Re-Identification Call for Papers

ICPR26 TRVID competition on Privacy-Preserving Person Re-Identification

We invite you to participate in TVRID, the ICPR 2026 Competition on
Privacy-Preserving Person Re-Identification from Top-View RGB-Depth Camera.

Overview (dataset and setting).

TVRID is a top-view person re-identification benchmark with aligned RGB and
Depth sequences, captured using four overhead Intel RealSense D455 cameras.
The dataset includes 88 identities, with each person observed twice (IN/OUT),
across four geometric contexts: flat ground, ascent, descent, and an oblique
roof view. This setup is designed to support research on privacy-preserving
Re-ID (Depth) and cross-modal RGB?Depth retrieval in a realistic
multi-camera overhead scenario.

Who is it for? Researchers and practitioners working on:

  *   Person Re-ID / metric learning / retrieval
  *   Cross-modal learning
  *   Privacy-preserving computer vision
  *   Sequence modeling for Re-ID

Tracks.

  *   RGB Re-ID (privacy-unconstrained)
  *   Depth Re-ID (privacy-preserving)
  *   Cross-modal RGB?Depth retrieval

Evaluation.

Submissions are ranked lists evaluated with CMC@1/5/10 and mAP. The primary
leaderboard metric is overallMap (mean of per-track overall mAP).
The top five teams will be invited to contribute to the competition summary
paper to be published in the ICPR 2026 proceedings.

How to participate.

  *   Competition page (registration, submission, rules):
  https://www.codabench.org/competitions/12200/#/pages-tab
  *   Baseline code and instructions (TVRID quick start, data preparation,
  and submission format): https://github.com/RaphaelDel/ICPR-2026-TVRID

If you have colleagues or students working on person Re-ID, privacy-preserving
vision, metric learning, or cross-modal retrieval, please feel free to
forward this email.

Contact: Raphael Delecluse