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Unsupervised Long Term Person Re-Identification

Long-term Person Re-Identification(Clothes-Changing Person Re-ID) is a computer vision task in which the goal is to match a person's identity across different cameras, clothes, and locations in a video or image sequence. It involves detecting and tracking a person and then using features such as appearance, and body shape to match their identity in different frames. The goal is to associate the same person across multiple non-overlapping camera views in a robust and efficient manner.

Papers

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TitleStatusHype
SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes ChangeCode1
Unsupervised Long-Term Person Re-Identification with Clothes Change0
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