Awesome Gait Recognition

A curated list of Gait Recognition and related area resources

Contributing

The repository is built and maintained by Yang Fu.

Please feel free to send me pull requests or email (aleeyanger@gmail.com) to add links.

What's New

Update five paper

• OpenGait: A Comprehensive Benchmark Study for Gait Recognition towards Better Practicality - C. Fan et al. (OpenGait)
• GaitSTR: Gait Recognition with Sequential Two-stream Refinement - W. Zheng et al.
• Cross-Modality Gait Recognition: Bridging LiDAR and Camera Modalities for Human Identification - R. Wang et al.
• GaitPoint+: A Gait Recognition Network Incorporating Point Cloud Analysis and Recycling - R. Wang et al.
• The Paradox of Motion: Evidence for Spurious Correlations in Skeleton-based Gait Recognition Models - A. Catruna et al.

Contents

• Appearance based Gait Recognition
• Model based Gait Recognition
• Gait Survey
• Gait Recognition Dataset and Evaluation
• Tutorial
• Competition
• Framework

Appearance based Gait Recognition

2024

Arxiv

• OpenGait: A Comprehensive Benchmark Study for Gait Recognition towards Better Practicality - C. Fan et al. (OpenGait)
• GaitSTR: Gait Recognition with Sequential Two-stream Refinement - W. Zheng et al.
• Cross-Modality Gait Recognition: Bridging LiDAR and Camera Modalities for Human Identification - R. Wang et al.
• GaitPoint+: A Gait Recognition Network Incorporating Point Cloud Analysis and Recycling - R. Wang et al.
• The Paradox of Motion: Evidence for Spurious Correlations in Skeleton-based Gait Recognition Models - A. Catruna et al.

CVPR2024

• BigGait: Learning Gait Representation You Want by Large Vision Models - D. Ye et al. (BigGait)

TIP2024

• CLASH: Complementary Learning with Neural Architecture Search for Gait Recognition - H. Dou et al. (CLASH)

TCSVT2024

• Cloth-Imbalanced Gait Recognition via Hallucination - S. Hou et al.

AAAI2024

• SkeletonGait: Gait Recognition Using Skeleton Maps - C. Fan et al. (⚡SkeletonGait [code])
• HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations - Y. Dong et al.
• QAGait: Revisit Gait Recognition From a Quality Perspective - Z. Wang et al.

WACV2024

• You Can Run but not Hide: Improving Gait Recognition with Intrinsic Occlusion Type Awareness - A. Gupta et al. ✨ Oral Paper ✨

2023

IJCB2023

• A Multi-Stage Adaptive Feature Fusion Neural Network for Multimodal Gait Recognition - S. Zou et.al. (⚡MSAFF [code])

MM2023

• Causal Intervention for Sparse-View Gait Recognition - J. Wang et al.
• LandmarkGait: Intrinsic Human Parsing for Gait Recognition - Z. Wang et al. (⚡LandmarkGait [code])
• Parsing is All You Need for Accurate Gait Recognition in the Wild - J. Zheng et al. (⚡ParsingGait [code]) ✨ Oral Paper ✨

TMM2023

• Gait Recognition with Drones: A Benchmark - A. Li et al.
• Gait Recognition With Multi-Level Skeleton-Guided Refinement - R. Wang et al.
• GaitParsing: Human Semantic Parsing for Gait Recognition - Z. Wang et al.

ICCV2023

• Fine-grained Unsupervised Domain Adaptation for Gait Recognition - K. Ma et al.
• DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition - M. Wang et al.
• Hierarchical Spatio-Temporal Representation Learning for Gait Recognition - L. Wang et al.
• Occluded Gait Recognition via Silhouette Registration Guided by Automated Occlusion Degree Estimation - C. Xu et al.

CVPR2023

• Multi-Modal Gait Recognition via Effective Spatial-Temporal Feature Fusion - Y. Cui et al.

• An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions - W. Li et al.(CCPG)

• GaitGCI: Generative Counterfactual Intervention for Gait Recognition - H. Dou et al. (GaitGCI)

• Dynamic Aggregated Network for Gait Recognition - K. Ma et al. (DANet)

• LIDAR GAIT: Benchmarking 3D Gait Recognition with Point Clouds - C. Shen et al. (⚡LidarGait [code])

WACV2023

• Gait Recognition Using 3-D Human Body Shape Inference - H. Zhu et al.

PR2023

• Temporal sparse adversarial attack on sequence-based gait recognition - Z. He et al.

TIFS2023

• Occlusion-aware Human Mesh Model-based Gait Recognition - C. Xu et al.

• GaitReload: A Reloading Framework for Defending Against On-Manifold Adversarial Gait Sequences - P. Du et al.

TPAMI2023

• Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark - C. Fan et al. (⚡GaitSSB [code])

Arxiv2023

• HiH: A Multi-modal Hierarchy in Hierarchy Network for Unconstrained Gait Recognition - L. Wang et al.

• POISE: Pose Guided Human Silhouette Extraction under Occlusions - A. Dutta et al.

• Free Lunch for Gait Recognition: A Novel Relation Descriptor - J. Wang et al.

• TriGait: Aligning and Fusing Skeleton and Silhouette Gait Data via a Tri-Branch Network - Y. Sun et al.

• GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition -E. Pinyoanuntapong et al.

• GaitEditer: Attribute Editing for Gait Representation Learning - D. Ye et al.

• GaitRef: Gait Recognition with Refined Sequential Skeletons - H. Zhu et al.

• Unsupervised Gait Recognition with Selective Fusion - X. Ren et al.

• Exploring Deep Models for Practical Gait Recognition - C. Fan et al.

2022

CVPR2022

• Lagrange Motion Analysis and View Embeddings for Improved Gait Recognition - T. Chai et al. (⚡LagrangeGait [Official Code])

• Gait Recognition in the Wild with Dense 3D Representations and A Benchmark - J. Zheng et al. (⚡Gait3D [Official Code])

ECCV2022

• Metagait: Learning to learn an omni sample adaptive representation for gait recognition - H. Dou et al. (⚡MetaGait [Official Code])

• GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality - J. Liang et al. (⚡GaitEdge [OpenGait])

MM'22

• Generalized inter-class loss for gait recognition - W. Yu et al.

• Gait recognition in the wild with multi-hop temporal switch - J. Zheng et al. (MTSGait)

ICIP2022

• GAITTAKE: Gait recognition by temporal attention and keypoint-guided embedding - HM. Hsu et al.(GaitTake)

TBIOM2022

• Gait Pyramid Attention Network: Toward Silhouette Semantic Relation Learning for Gait Recognition - J. Chen et al.

• STAR: Spatio-Temporal Augmented Relation Network for Gait Recognition - X. Huang et al.

ICME2022

• Decomposing Identity and View for Cross-View Gait Recognition - X. Zhai et al.
• GaitTransformer: Multiple-Temporal-Scale Transformer for Cross-View Gait Recognition -Y. Cut et al.

ACCV2022

• GaitStrip: Gait Recognition via Effective Strip-based Feature Representations and Multi-Level Framework - M. Wang et al.

ICPR2022

• FedGait: A Benchmark for Federated Gait Recognition - Z. Li et al.
• Interpretable Gait Recognition by Granger Causality - M. Balazia et al.

TIP2022

• GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning - H. Dou et al.

TMM2022

• Improving Disentangled Representation Learning for Gait Recognition using Group Supervision - L. Yao et al.

TCSVT2022

• Enhanced Spatial-Temporal Salience for Cross-view Gait Recognition - T. Huang et al.

TNNLS2022

• Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition - S. Hou et al. (GQAN)

PR2022

• GaitSlice: A gait recognition model based on spatio-temporal slice features - H Li et al.
• A unified perspective of classification-based loss and distance-based loss for cross-view gait recognition - F. Han et al.

Arxiv2022

• LiCamGait: Gait Recognition in the Wild by Using LiDAR and Camera Multi-modal Visual Sensors - X. Han et al. (LiCamGait)

2021

ICCV2021

• 3d local convolutional neural networks for gait recognition - Z. Huang et al. (⚡3DLocal [Official Code])

• Context-sensitive temporal feature learning for gait recognition - X. Huang et al.(⚡CSTL[Official Code])

• Gait recognition via effective global-local feature representation and local temporal aggregation - B. Lin et al. (⚡GaitGL [OpenGait])

• Gait recognition in the wild: A benchmark - Z. Zhu et al.(⚡GREW [code])

CVPR2021

• Cross-view gait recognition with deep universal linear embeddings - S. Zhang et al.

ICIP2021

• Silhouette-based view-embeddings for gait recognition under multiple views - T. Chai et al.(⚡Vi-GaitGL [code])

BMVC2021

• Gaitmask: Mask-based model for gait recognition - B. Lin et al.

ICPR2021

• Part-based collaborative spatio-temporal feature learning for cloth-changing gait recognition - L. Yao et al.
• Gait recognition using multi-scale partial representation transformation with capsules - A Sepas-Moghaddam et al.

TPAMI2021

• GaitSet: Cross-view gait recognition through utilizing gait as a deep set - H. Chao et al.

TMM2021

• Associated spatio-temporal capsule network for gait recognition - A. Zhao et al.

TIP2021

• Multi-view gait image generation for cross-view gait recognition - X. Chen et al.

TBIOM2021

• Set residual network for silhouette-based gait recognition - S. You et al.

2020

CVPR2020

• Gaitpart: Temporal part-based model for gait recognition - C. Fan et al. (⚡GaitPart [OpenGait])

• Gait recognition via semi-supervised disentangled representation learning to identity and covariate features - X. Li et al.

ECCV2020

• Gait lateral network: Learning discriminative and compact representations for gait recognition - S. You et al. (⚡GLN [OpenGait])

• Gait recognition from a single image using a phase-aware gait cycle reconstruction network - C. Xu et al.

MM'20

• Gait recognition with multiple-temporal-scale 3d convolutional neural network - B. Lin et al. (MT3D)

AAAI2020

• Gait recognition for co-existing multiple people using millimeter wave sensing -Z. Men et al.

ACCV2020

• End-to-end model-based gait recognition - X. Li et al.

TPAMI2020

• On learning disentangled representations for gait recognition - Z. Zhang et al., TPAMI2020 (GaitNet)

TBIOM2020

• View-invariant gait recognition with attentive recurrent learning of partial representations - A Sepas-Moghaddam et al.

• Performance evaluation of model-based gait on multi-view very large population database with pose sequences - W. An et al.

TIP2020

• Condition-aware comparison scheme for gait recognition - H. Wu et al.

TCSVT2020

• Cross-view gait recognition using pairwise spatial transformer networks -C. Xu et al.

PR2020

• Gait recognition invariant to carried objects using alpha blending generative adversarial networks - X. Li et al.

IJCB2020

• Dense-view geis set: View space covering for gait recognition based on dense-view gan - R. Liao et al.

• DeformGait: Gait Recognition under Posture Changes using Deformation Patterns between Gait Feature Pairs - Xu. Chi et al.

2019

AAAI2019

• Gaitset: Regarding gait as a set for cross-view gait recognition - H. Chao et al., AAAI2019 (⚡ GaitSet [Official Code, OpenGait] )

CVPR2019

• Gait recognition via disentangled representation learning - Z. Zhang et al. ✨ Oral Paper ✨

• EV-gait: Event-based robust gait recognition using dynamic vision sensors - Y. Wang et al.

• Learning joint gait representation via quintuplet loss minimization - K. Zhang et al.

ICIP2019

• Gait energy image restoration using generative adversarial networks - M. Babaee et al.

TIP2019

• Cross-view gait recognition by discriminative feature learning - Y. Zhang et al.

TMM2019

• Attentive spatial–temporal summary networks for feature learning in irregular gait recognition - S. Li et al.

TCSVT2019

• Coupled bilinear discriminant projection for cross-view gait recognition - X. Ben et al.

PR2019

• Gaitnet: An end-to-end network for gait based human identification - C. Song et al.
• A comprehensive study on gait biometrics using a joint CNN-based method - Y. Zhang et al.

TIFS2019

• Joint intensity transformer network for gait recognition robust against clothing and carrying status - X. Li et al.

2018

TIFS2018

• Multi-task GANs for view-specific feature learning in gait recognition - Y. He et al.

2017

CVPR2017

• Joint intensity and spatial metric learning for robust gait recognition - Y. Makihara et al.

• Gaitgan: Invariant gait feature extraction using generative adversarial networks - S. Yu et al., CVPRW2017

TPAMI2017

• Multi-gait recognition based on attribute discovery - X. Chen et al.

TCSVT2017

• On input/output architectures for convolutional neural network-based cross-view gait recognition - N. Takemura et al.

2016

ICPR2016

• Learning effective gait features using LSTM - Y. Feng et al.
• Multi-view gait recognition using 3D convolutional neural networks - T. Wolf et al.

TPAMI2016

• A comprehensive study on cross-view gait based human identification with deep cnns - Z. Wu et al.

PR2016

• Complete canonical correlation analysis with application to multi-view gait recognition - X. Xing et al.

ICB2016

• Geinet: View-invariant gait recognition using a convolutional neural network -K. Shiraga et al. (GEINet)

2014

TIFS2014

• Recognizing gaits on spatio-temporal feature domain - W. Kusakunniran et al.

TIP2014

• Recognizing gaits across views through correlated motion co-clustering - W.Kusakunniran et al.

PR2014

• Uncooperative gait recognition by learning to rank - R.l Martín-Félez et al.

2013

TIFS2013

• A new view-invariant feature for cross-view gait recognition - W. Kusakunniran et al.

2012

TCSVT2012

• Gait recognition under various viewing angles based on correlated motion regression - W. Kusakunniran et al.

2011

ICIP2011

• Robust view transformation model for gait recognition - S. Zheng et al.

TPAMI2011

• Human identification using temporal information preserving gait template - C. Wang et al.

TIP2011

• Gait recognition with shifted energy image and structural feature extraction - X. Huang et al.

PR2011

• Gait flow image: A silhouette-based gait representation for human identification - THW. Lam et al.

2010

BMVC2010

• Cross view gait recognition using correlation strength. - K. Bashir et al.

2008

ECCV2008

• Viewpoint invariant pedestrian recognition with an ensemble of localized features - D. Gray et al.

PR2008

• Extracting a diagnostic gait signature - H. Lakany et al.

2007

TIFS2007

• Gait recognition using compact feature extraction transforms and depth information - D. Loannidis et al.

Gait&posture2007

• Walking speed influences on gait cycle variability - K. Jordan et al.

2006

ECCV2006

• Gait recognition using a view transformation model in the frequency domain - Y. Makihara et al.

ICPR2006

• A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition - S. You et al.

TPAMI2006

• Individual recognition using gait energy image - J. Han et al.

2004

TCSVT2004

• Fusion of static and dynamic body biometrics for gait recognition - L. Wang et al.

2003

TPAMI2003

• Silhouette analysis-based gait recognition for human identification - L. Wang et al.

2001

CVPR2001

• Gait recognition from time-normalized joint-angle trajectories in the walking plane - R. Tanawongsuwan et al.

Model based Gait Recognition

2023

ICCV2023

• GPGait: Generalized Pose-based Gait Recognition - Y. Fu et al. ((⚡GPGait [code]))
• Physics-Augmented Autoencoder for 3D Skeleton-Based Gait Recognition - H. Guo et al.

IEEE J-STSP2023

• Learning Temporal Attention based Keypoint-guided Embedding for Gait Recognition - H. Hung-Min, et al.(GaitTAKE)

TIP2023

• Condition-Adaptive Graph Convolution Learning for Skeleton-Based Gait Recognition -X. Huang et al.

Arxiv2023

• GaitContour: Efficient Gait Recognition based on a Contour-Pose Representation - Y. Guo et al.

2022

CVPR2022

• Towards a Deeper Understanding of Skeleton-based Gait Recognition - T. Teepe et al., CVPRW2022 (⚡GaitGraph2 [code])

Arxiv2022

• GaitMixer: skeleton-based gait representation learning via wide-spectrum multi-axial mixer - E. Pinyoanuntapong (⚡GaitMixer [code])
• Spatial Transformer Network on Skeleton-based Gait Recognition - C. Zhang et al. (⚡GaitTR [code])

TMM2022

• A Strong and Robust Skeleton-based Gait Recognition Method with Gait Periodicity Priors - N. Li et al.

PR2022

• Symmetry-Driven hyper feature GCN for skeleton-based gait recognition - X. Liu et al.

TBIOM2022

• Multi-view large population gait database with human meshes and its performance evaluation - X. Li et al.

2021

ICIP2021

• Gaitgraph: Graph convolutional network for skeleton-based gait recognition - T. Teepe et al. (⚡GaitGraph [code])

ICCV2021

• End-to-end Model-based Gait Recognition using Synchronized Multi-view Pose Constraint - X. Li et al., ICCVW2021

ICME2021

• Gait Identification Based on Human Skeleton with Pairwise Graph Convolutional Network - K. Su et al.

TMM2021

• Gait Recognition based on Local Graphical Skeleton Descriptor with Pairwise Similarity Network - K. Xu et al.

IJCB2021

• Static and Dynamic Features Analysis from Human Skeletons for Gait Recognition - Z. Li et al.

PR2021

• Multi-task learning for gait-based identity recognition and emotion recognition using attention enhanced temporal graph convolutional network - W. Shang et al.

2020

CVPR2020

• A geometric convnet on 3d shape manifold for gait recognition - N. Hosni et al., CVPRW2020

PR2020

• A model-based gait recognition method with body pose and human prior knowledge - R. Liao et al. (⚡PoseGait [code])

IJCB2020

• Gait recognition based on 3d skeleton data and graph convolutional network - M. Mao et al.

2019

ICIP2019

• Glidar3dj: a view-invariant gait identification via flash lidar data correction - N. Sadeghzadehyazdi et al.

TIFS2019

• Skeleton-based gait recognition via robust frame-level matching -S. Choi et al.

2017

TIFS2017

• Human identification from freestyle walks using posture-based gait feature - N. Khamsemanan et al.

2016

ICPR2016

• Learning effective gait features using LSTM -Y. Feng et al.

Gait Survey

2022

• A comprehensive survey on deep gait recognition: algorithms, datasets and challenges - C. Shen et al., Arxiv 2022
• Deep gait recognition: A survey - A. Sepas-Moghaddam et al., TPAMI2022

2019

• A survey on gait recognition via wearable sensors - MD. Marsico et al., CSUR2019

2018

• A survey on gait recognition - C. Wan et al., CSUR2018
• Biometric recognition by gait: A survey of modalities and features - P. Connor et al., CVIU2018

Gait Recognition Dataset and Evaluation

2024

AAAI2024

• Cross-Covariate Gait Recognition: A Benchmark - S. Zou et al. (⚡CCRG [download])

2023

• Gait Recognition with Drones: A Benchmark - A. Li et al., TMM2023 (⚡DroneGait [download])

• LIDAR GAIT: Benchmarking 3D Gait Recognition with Point Clouds - C. Shen et al., CVPR2023 (⚡SUSTech1K [download])

• An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions - W. Li et al. CVPR2023 (⚡CCPG [download])

• Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark - C. Fan et al. TPAMI2023 (⚡GaitLU-1M [download])

2022

• Gait Recognition in the Wild with Dense 3D Representations and A Benchmark - J. Zheng et al., CVPR2022 (⚡Gait3D [download])
• CASIA-E: A Large Comprehensive Dataset for Gait Recognition - C. Song et al., TPAMI2022 (⚡CASIA-E [download])
• A Comprehensive Study on the Evaluation of Silhouette-based Gait Recognition - S. Hou et al., TBIOM 2022
• Multi-view large population gait database with human meshes and its performance evaluation - X. Li et al., TBIOM 2022 （⚡OUMVLP-Mesh [download]）
• Front View Gait (FVG-B) Database - Y. Su et al., Univer Web (⚡FVG-B [download])
• LiCamGait: Gait Recognition in the Wild by Using LiDAR and Camera Multi-modal Visual Sensors - X. Han et al., Arxiv2022

2021

• Gait recognition in the wild: A benchmark - Z. Zhu et al., ICCV2021(⚡GREW [download])

2020

• Performance evaluation of model-based gait on multi-view very large population database with pose sequences - W. An et al., TBIOM2020 (⚡OUMVLP-Pose [download])

2019

• EV-gait: Event-based robust gait recognition using dynamic vision sensors - Y. Wang et al., CVPR2019

2018

• Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition - N. Takemura et al., IPSJ2018 (⚡OUMVLP [download])

2006

• A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition - S. Yu et al., ICPR2006 (⚡CASIA-B [download])

Tutorial

• Soft Biometrics and Gait - M. Nixon, The IAPR/IEEE Winter School on Biometrics 2022 [pdf]
• Gait Recognition - Y. Yagi, The IAPR/IEEE Winter School on Biometrics 2021 [pdf]
• Human Gait Analysis - Y. Yagi, The IAPR/IEEE Winter School on Biometrics 2020 [pdf]
• Human Gait Analysis - Y. Yagi, The IAPR/IEEE Winter School on Biometrics 2019 [pdf]
• Gait and Soft Biometrics - M. Nixon, The IAPR/IEEE Winter School on Biometrics 2018 [pdf]
• Human Identification via Gait Recognition - L. Wang, The IAPR/IEEE Winter School on Biometrics 2017 [pdf][video]

Competition

✨Newest✨

The 4th International Competition on Human Identification at a Distance 2023 (HID2023)

Framework

Pytorch

• OpenGait: Revisiting Gait Recognition Toward Better Practicality - C. Fan et al., CVPR2023 (⚡ OpenGait [Link]) ✨ Highlight Paper ✨

• FastPoseGait - S. Meng et al. (⚡ FastPoseGait [Link])