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ICPR 2026 competition launches privacy-preserving person re-identification benchmark

A new competition, the ICPR 2026 TVRID, has been introduced for privacy-preserving person re-identification using top-view RGB-Depth cameras. The competition features a dataset with 86 identities captured by four synchronized Intel RealSense D455 cameras, offering paired RGB/Depth streams across various viewpoints. Evaluation includes tracks for RGB Re-ID, Depth Re-ID, and cross-modal retrieval, with results indicating RGB-based identification is the most challenging. AI

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IMPACT Establishes a new benchmark for privacy-preserving person re-identification, potentially advancing multimodal AI in surveillance and security.

RANK_REASON This is a research paper describing a competition and dataset for a specific computer vision task.

Read on arXiv cs.CV →

COVERAGE [2]

  1. arXiv cs.CV TIER_1 · Rapha\"el Del\'ecluse, Hazem Wannous, Laurent Guimas ·

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

    arXiv:2605.04977v1 Announce Type: new 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…

  2. arXiv cs.CV TIER_1 · Laurent Guimas ·

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

    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 c…