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
Most implemented papers
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification
Detail Branch processes frames at original resolution to preserve the detailed visual clues, and Context Branch with a down-sampling strategy is employed to capture long-range contexts.
Video-based Person Re-identification without Bells and Whistles
Besides, we discover the errors not only for the identity labels of tracklets but also for the evaluation protocol for the test data of MARS.
Video-based Person Re-identification with Spatial and Temporal Memory Networks
Spatial and temporal distractors in person videos, such as background clutter and partial occlusions over frames, respectively, make this task much more challenging than image-based person reID.
Exploiting Robust Unsupervised Video Person Re-identification
A local-aware module is employed to explore the poentials of local-level feature for unsupervised learning.
Keypoint Message Passing for Video-based Person Re-Identification
Video-based person re-identification (re-ID) is an important technique in visual surveillance systems which aims to match video snippets of people captured by different cameras.
Salient-to-Broad Transition for Video Person Re-Identification
To further improve SBM, an Integration-and-Distribution Module (IDM) is introduced to enhance frame-level representations.
RealGait: Gait Recognition for Person Re-Identification
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.
VID-Trans-ReID: Enhanced Video Transformers for Person Re-identification
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.
MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification
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.
A Benchmark of Video-Based Clothes-Changing Person Re-Identification
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.