Video-Based Person Re-Identification
36 papers with code • 0 benchmarks • 6 datasets
Video-based person re-identification (reID) aims to retrieve person videos with the same identity as a query person across multiple cameras
Benchmarks
These leaderboards are used to track progress in Video-Based Person Re-Identification
MARS
DukeMTMC-VideoReID
iLIDS-VID
Airport
P-DESTRE
Latest papers
GAF-Net: Video-Based Person Re-Identification via Appearance and Gait Recognitions
Moncef-Bj/GAF-Net-for-Video-Based-Person-Re-Identification
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International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2024
These features are then combined into a single feature allowing the re-identification of individuals.
Image-based human re-identification: Which covariates are actually (the most) important?
KaiyangZhou/deep-person-reid
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Image and Vision Computing 2024
Human re-identification (re-ID) is nowadays among the most popular topics in computer vision, due to the increasing importance given to safety/security in modern societies.
TF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification
Technically, TMC allows the frame-level memories in a sequence to communicate with each other, and to extract temporal information based on the relations within the sequence.
Deeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identification
Further, in spatial, we propose a Complementary Content Attention (CCA) to take advantages of the coupled structure and guide independent features for spatial complementary learning.
Aerial-Ground Person Re-ID
Our dataset presents a novel elevated-viewpoint challenge for person re-ID due to the significant difference in person appearance across these cameras.
A Benchmark of Video-Based Clothes-Changing Person Re-Identification
dustin-nguyen-qil/SEMI_VCCReID
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In this paper, we focus on the relatively new yet practical problem of clothes-changing video-based person re-identification (CCVReID), which is less studied.
MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification
kitware/mevid
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In this paper, we present the Multi-view Extended Videos with Identities (MEVID) dataset for large-scale, video person re-identification (ReID) in the wild.
VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification
AishahAADU/VID-Trans-ReID
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BMVC 2022
The key challenge within person Re-ID is extracting a robust feature representation that is invariant to the challenges of pose and illumination variation across multiple camera viewpoints.
RealGait: Gait Recognition for Person Re-Identification
shiqiyu/opengait
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Given that our experimental results show that current gait recognition approaches designed under data collected in controlled scenarios are inappropriate for real surveillance scenarios, we propose a novel gait recognition method, called RealGait.
Salient-to-Broad Transition for Video Person Re-Identification
baist/sinet
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CVPR 2022
To further improve SBM, an Integration-and-Distribution Module (IDM) is introduced to enhance frame-level representations.
