Blurring Modal Boundaries: A Unified Survey from Single- to Multi-Modal Person Re-ldentification

• URL: http://arxiv.org/abs/2607.14821v1
• Date: Thu, 16 Jul 2026 10:39:22 GMT
• Title: Blurring Modal Boundaries: A Unified Survey from Single- to Multi-Modal Person Re-ldentification
• Abstract summary: Person re-identification serves as a critical component in intelligent surveillance systems.<n>To overcome limitations, the field is rapidly evolving toward cross-modal and multi-modal paradigms.
• Score: 56.272623701773256
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Person re-identification (ReID) serves as a critical component in intelligent surveillance systems, aiming to match identities across disjoint camera networks. While traditional methods primarily rely on single-modal RGB imagery, they are often constrained by environmental challenges such as low illumination and occlusion. To overcome these limitations, the field is rapidly evolving toward cross-modal and multi-modal paradigms. This survey presents a comprehensive overview of this transition, systematically reviewing key cross-modal tasks including visible-infrared (VI-ReID), text-image (TI-ReID), sketch-based (Sketch-ReID), and the emerging Non-Line-of-Sight (NLOS) ReID, which extends perception beyond direct visibility. Furthermore, we examine tri-spectral and multi-modal fusion ReID, discussing how complementary information from diverse sensors enhances robustness. Beyond summarizing datasets, challenges, and methodologies, we propose a Transformer-based baseline framework for visible-infrared ReID, designed to effectively capture modality-invariant features. Finally, based on the current landscape, we outline several promising directions for future research.

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