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 with no code
Gait Recognition from Highly Compressed Videos
We systematically evaluate the performance of our artifact correction model against a range of noisy surveillance data and demonstrate that our approach not only achieves improved pose estimation on low-quality surveillance footage, but also preserves the integrity of the pose estimation on high resolution footage.
GaitPoint+: A Gait Recognition Network Incorporating Point Cloud Analysis and Recycling
Our approach models skeleton key points as a 3D point cloud, and employs a computational complexity-conscious 3D point processing approach to extract skeleton features, which are then combined with silhouette features for improved accuracy.
Cross-Modality Gait Recognition: Bridging LiDAR and Camera Modalities for Human Identification
Current gait recognition research mainly focuses on identifying pedestrians captured by the same type of sensor, neglecting the fact that individuals may be captured by different sensors in order to adapt to various environments.
GaitSTR: Gait Recognition with Sequential Two-stream Refinement
We demonstrate that with refined skeletons, the performance of the gait recognition model can achieve further improvement on public gait recognition datasets compared with state-of-the-art methods without extra annotations.
KeyPoint Relative Position Encoding for Face Recognition
By anchoring the significance of pixels around keypoints, the model can more effectively retain spatial relationships, even when those relationships are disrupted by affine transformations.
The Paradox of Motion: Evidence for Spurious Correlations in Skeleton-based Gait Recognition Models
Gait, an unobtrusive biometric, is valued for its capability to identify individuals at a distance, across external outfits and environmental conditions.
A Large-Scale Re-identification Analysis in Sporting Scenarios: the Betrayal of Reaching a Critical Point
Our experimental results demonstrate that gait recognition can be significantly enhanced (up to a 9% increase in mAP) as athletes approach this point.
STRIDE: Single-video based Temporally Continuous Occlusion Robust 3D Pose Estimation
This challenge arises because these models struggle to generalize beyond their training datasets, and the variety of occlusions is hard to capture in the training data.
You Can Run but not Hide: Improving Gait Recognition with Intrinsic Occlusion Type Awareness
Most current methods assume the availability of complete body information while extracting the gait features.
GaitContour: Efficient Gait Recognition based on a Contour-Pose Representation
Gait recognition holds the promise to robustly identify subjects based on walking patterns instead of appearance information.
