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
Most implemented papers
Temporal Knowledge Propagation for Image-to-Video Person Re-identification
With back propagation, temporal knowledge can be transferred to enhance the image features and the information asymmetry problem can be alleviated.
Adaptive Graph Representation Learning for Video Person Re-identification
While correlations between parts are ignored in the previous methods, to leverage the relations of different parts, we propose an innovative adaptive graph representation learning scheme for video person Re-ID, which enables the contextual interactions between relevant regional features.
Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification
InnovArul/vidreid_cosegmentation
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ICCV 2019
Person re-identification (Re-ID) is an important real-world surveillance problem that entails associating a person's identity over a network of cameras.
Video Person Re-ID: Fantastic Techniques and Where to Find Them
ppriyank/Video-Person-Re-ID-Fantastic-Techniques-and-Where-to-Find-Them
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The ability to identify the same person from multiple camera views without the explicit use of facial recognition is receiving commercial and academic interest.
A Symbolic Temporal Pooling method for Video-based Person Re-Identification
aru05c/SymbolicTemporalPooling
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In video-based person re-identification, both the spatial and temporal features are known to provide orthogonal cues to effective representations.
Robust Re-Identification by Multiple Views Knowledge Distillation
To achieve robustness in Re-Identification, standard methods leverage tracking information in a Video-To-Video fashion.
Appearance-Preserving 3D Convolution for Video-based Person Re-identification
Due to the imperfect person detection results and posture changes, temporal appearance misalignment is unavoidable in video-based person re-identification (ReID).
Pyramid Spatial-Temporal Aggregation for Video-Based Person Re-Identification
WangYQ9/VideoReID_PSTA
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ICCV 2021
Video-based person re-identification aims to associate the video clips of the same person across multiple non-overlapping cameras.
Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification
flysnowtiger/GRL
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CVPR 2021
Specifically, we first propose a Global-guided Correlation Estimation (GCE) to generate feature correlation maps of local features and global features, which help to localize the high- and low-correlation regions for identifying the same person.
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
daodaofr/hypergraph_reid
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CVPR 2020
In each hypergraph, different temporal granularities are captured by hyperedges that connect a set of graph nodes (i. e., part-based features) across different temporal ranges.
