This survey paper provides a comprehensive overview of person re-identification (ReID) techniques, moving beyond traditional single-modal RGB imagery to explore cross-modal and multi-modal approaches. It details advancements in visible-infrared (VI-ReID), text-image (TI-ReID), sketch-based (Sketch-ReID), and Non-Line-of-Sight (NLOS) ReID, discussing how fusing diverse sensor data enhances system robustness. The paper also proposes a Transformer-based framework for VI-ReID and outlines future research directions. AI
IMPACT This survey provides a consolidated view of multi-modal person re-identification, potentially guiding future research and development in surveillance and computer vision systems.
RANK_REASON The cluster contains a survey paper published on arXiv detailing advancements in a specific computer vision research area.
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Gotit.pub
- Hugging Face
- Non-line-of-sight propagation
- Person Re-ldentification
- RGB color model
- ScienceCast
- Sketch-ReID
- TI-ReID
- Transformer++
- VI-ReID
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