Person Re-Identification

505 papers with code • 33 benchmarks • 56 datasets

Person Re-Identification is a computer vision task in which the goal is to match a person's identity across different cameras or locations in a video or image sequence. It involves detecting and tracking a person and then using features such as appearance, body shape, and clothing 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.

Libraries

Use these libraries to find Person Re-Identification models and implementations

Camera-aware Label Refinement for Unsupervised Person Re-identification

leeboomla/calr 25 Mar 2024

Unsupervised person re-identification aims to retrieve images of a specified person without identity labels.

4
25 Mar 2024

View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network

faceonlive/ai-research 21 Mar 2024

Experiments on two datasets show that VDT is a feasible and effective solution for AGPReID, surpassing the previous method on mAP/Rank1 by up to 5. 0%/2. 7% on CARGO and 3. 7%/5. 2% on AG-ReID, keeping the same magnitude of computational complexity.

38
21 Mar 2024

Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification

1kk077/idkl 18 Mar 2024

To address this issue, we propose a novel Implicit Discriminative Knowledge Learning (IDKL) network to uncover and leverage the implicit discriminative information contained within the modality-specific.

3
18 Mar 2024

A Versatile Framework for Multi-scene Person Re-identification

isee-laboratory/versreid 17 Mar 2024

To overcome significant variations between images across camera views, mountains of variants of ReID models were developed for solving a number of challenges, such as resolution change, clothing change, occlusion, modality change, and so on.

19
17 Mar 2024

Occluded Cloth-Changing Person Re-Identification

1024ailab/occluded-cloth-changing-person-re-identification 13 Mar 2024

We define cloth-changing person re-identification in occlusion scenarios as occluded cloth-changing person re-identification (Occ-CC-ReID), and to the best of our knowledge, we are the first to propose occluded cloth-changing person re-identification as a new task.

1
13 Mar 2024

YYDS: Visible-Infrared Person Re-Identification with Coarse Descriptions

dyhbupt/yyds 7 Mar 2024

To this end, we present the Refer-VI-ReID settings, which aims to match target visible images from both infrared images and coarse language descriptions (e. g., "a man with red top and black pants") to complement the missing color information.

6
07 Mar 2024

Source-Guided Similarity Preservation for Online Person Re-Identification

ramimmhamza/s2p 23 Feb 2024

Our framework is based on the extraction of a support set composed of source images that maximizes the similarity with the target data.

4
23 Feb 2024

DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identification

shuguang-52/drop 31 Jan 2024

Unlike mainstream approaches using global features for simultaneous multi-task learning of ReID and human parsing, or relying on semantic information for attention guidance, DROP argues that the inferior performance of the former is due to distinct granularity requirements for ReID and human parsing features.

3
31 Jan 2024

A Survey on 3D Skeleton Based Person Re-Identification: Approaches, Designs, Challenges, and Future Directions

kali-hac/3d-skeleton-based-person-re-id-survey 27 Jan 2024

Person re-identification via 3D skeletons is an important emerging research area that triggers great interest in the pattern recognition community.

0
27 Jan 2024