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ICPR 2026 Competition on Privacy-Preserving Person Re-Identification from Top-View RGB-Depth Camera

2026-05-06 14:31:53
Rapha\"el Del\'ecluse, Hazem Wannous, Laurent Guimas
arXiv_CV
     
Abstract

This companion paper reports the ICPR 2026 TVRID competition on privacy-aware top-view person re-identification. We present the competition setting, the released RGB-Depth dataset, and a summary of final results with descriptions of the top entries. TVRID contains 86 identities captured by four synchronized overhead Intel RealSense D455 cameras, with paired RGB/Depth streams and structured geometric variation across flat, ascent, descent, and oblique viewpoints. The evaluation protocol includes three tracks: RGB Re-ID, Depth Re-ID, and RGB$\leftrightarrow$Depth cross-modal retrieval. Submissions are ranked using mAP and CMC-1 under a unified server-side evaluation. The final results show a clear difficulty ordering (RGB $>$ Depth $>$ Cross-Modal), highlighting both the challenge of modality-constrained retrieval and the feasibility of strong performance with modality-invariant learning. By releasing the dataset at this https URL, the evaluation scripts at this https URL, and the accompanying documentation, TVRID establishes a reproducible benchmark for top-view, depth-based, and cross-modal person re-id.

Abstract (translated)

URL

https://arxiv.org/abs/2605.04977

PDF

https://arxiv.org/pdf/2605.04977.pdf

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