Gait Recognition
54 papers with code • 2 benchmarks • 9 datasets
( Image credit: GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition )
Libraries
Use these libraries to find Gait Recognition models and implementations
Gait3D
CASIA-B
TUM-GAID
PsyMo
CCGR
OUMVLP-Pose
Gait3D-Parsing
Latest papers
BigGait: Learning Gait Representation You Want by Large Vision Models
shiqiyu/opengait
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Gait recognition stands as one of the most pivotal remote identification technologies and progressively expands across research and industry communities.
QAGait: Revisit Gait Recognition from a Quality Perspective
Gait recognition is a promising biometric method that aims to identify pedestrians from their unique walking patterns.
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations
Existing gait recognition benchmarks mostly include minor clothing variations in the laboratory environments, but lack persistent changes in appearance over time and space.
Cross-Covariate Gait Recognition: A Benchmark
shiqiyu/opengait
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Compared to existing datasets, CCGR has both population and individual-level diversity.
A Multi-Stage Adaptive Feature Fusion Neural Network for Multimodal Gait Recognition
shinanzou/msaff
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In this paper, by considering the temporal and spatial characteristics of gait data, we propose a multi-stage feature fusion strategy (MSFFS), which performs multimodal fusions at different stages in the feature extraction process.
SkeletonGait: Gait Recognition Using Skeleton Maps
shiqiyu/opengait
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In this paper, we introduce a novel skeletal gait representation named skeleton map, together with SkeletonGait, a skeleton-based method to exploit structural information from human skeleton maps.
POISE: Pose Guided Human Silhouette Extraction under Occlusions
Human silhouette extraction is a fundamental task in computer vision with applications in various downstream tasks.
FastPoseGait: A Toolbox and Benchmark for Efficient Pose-based Gait Recognition
Our toolbox supports a set of cutting-edge pose-based gait recognition algorithms and a variety of related benchmarks.
Parsing is All You Need for Accurate Gait Recognition in the Wild
Furthermore, due to the lack of suitable datasets, we build the first parsing-based dataset for gait recognition in the wild, named Gait3D-Parsing, by extending the large-scale and challenging Gait3D dataset.
TriGait: Aligning and Fusing Skeleton and Silhouette Gait Data via a Tri-Branch Network
To fully exploit the complementary nature of the two modalities, a novel triple branch gait recognition framework, TriGait, is proposed in this paper.
