Gait Recognition

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Gait recognition studies how to identify people from the way they walk, even when faces are unavailable or capture conditions vary. Methods learn identity cues from silhouettes, video, body poses or skeletons, and temporal motion; newer work also combines cameras with sensors such as LiDAR and event cameras, or uses language-guided features. Benchmarks such as CASIA-B, SUSTech1K, GREW, and Gait3D test performance across viewpoints, clothing, carrying conditions, and real-world scenes. A central challenge is learning identity features that remain reliable across modalities, sessions, occlusion, and appearance changes without exposing sensitive personal information.

Latest papers

29 papers1 paper in the last four weeks, down 86% on the four weeks before. 0.0% of all new papers.

Attribute-Centric Vision-Language Alignment for Fine-Grained Gait Understanding
Oct 10, 2026Saihui Hou, Chenye Wang, Wenpeng Lang +5Gait Recognition Vision-Language Alignment
School of Artificial Intelligence, Beijing Normal University · The Hong Kong University of Science and Technology · Zhejiang University +3
Two-Stage Multi-View Gait Recognition with a Re-Embedding Network
Sep 26, 2026Long Hoang Le, Trung Thanh NgoMulti-View Feature Fusion Gait Recognition
Hanoi University of Science and Technology, Dai Co Viet, Hanoi, 100000, Vietnam
Learning A Unified Template for Gait Recognition
Sep 16, 2026Panjian Huang, Saihui Hou, Junzhou Huang +1Gait Recognition Motion Representation Learning
School of Artificial Intelligence, Beijing Normal University · Department of Computer Science and Engineering, The University of Texas at Arlington
Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective
Sep 16, 2026Panjian Huang, Yunjie Peng, Saihui Hou +4Gait Recognition Mixture of Experts
School of Artificial Intelligence, Beijing Normal University · School of Computer Science and Technology, Beihang University · AI Lab, Lenovo Research
Vocabulary-Guided Gait Recognition
Sep 16, 2026Panjian Huang, Saihui Hou, Chunshui Cao +2Gait Recognition
School of Artificial Intelligence, Beijing Normal University
Single-Stream Multi-Feature Fusion with Temporal Robustness for Gait Emotion Recognition
Sep 10, 2026Shirong Lyu, Silu Quan, Yixuan Ding +1Gait Recognition Invariant Representation Learning
College of Computer and Information Science, Southwest University, Chongqing, China · College of Physical Science and Technology, Southwest University, Chongqing, China · Wisesoft Inc., Chengdu, China
MMGait: Benchmarking and Unifying Gait Recognition across Heterogeneous Modalities
Sep 10, 2026Saihui Hou, Chenye Wang, Qingyuan Cai +2Cross-Modal Representation Learning Gait Recognition
School of Artificial Intelligence, Beijing Normal University, Beijing, China · The Hong Kong University of Science and Technology, Hong Kong, China · JD.com, Beijing, China +1
MultiGait: A Multi-Sensor Multi-Perspective Multi-Session Biometric Inference Benchmark and its Dataset
Sep 1, 2026Julian Todt, Felix Morsbach, Philip Dissert +1Privacy Auditing Biometric Identification
KASTEL Security Research Labs · Karlsruhe Institute of Technology
Who Remains, What Changes: Identity Anchored Composed Gait Retrieval
Aug 27, 2026Jingchen Fei, Zengbin Wang, Yukun Liu +3Cross-Modal Retrieval Gait Recognition
Beijing University of Posts and Telecommunications · Huazhong University of Science and Technology
SapiensID 2.0: Aligning Human Recognition Foundation Models with Human Perception
Aug 11, 2026Yiyang Su, Jie Zhu, Feng Liu +2Biometric Identification Face Recognition
Michigan State University · Drexel University · University of North Carolina, Chapel Hill
MHRGait: Gait Recognition from Momentum Human Rig Pose
Jul 31, 2026Huiran Duan, Qian Zhou, Xianda Guo +4Gait Recognition
City University of New York · School of Computer Science, Wuhan University · ELLIS Institute Finland +1
GaitFace: A Multimodal Dataset for Long-Range Person Identification
Jul 26, 2026Alain Komaty, Luis S. Luevano, Vidit Vidit +3Biometric Identification Face Recognition
Idiap Research Institute, Martigny, Switzerland
Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification
Jul 21, 2026Simone MilaniMembership Inference Attacks Privacy-Preserving ML
Department of Information Engineering, University of Padova, Padova, Italy
The 2nd International StepUP Competition for Biometric Footstep Recognition: From Steps to Strides
Jul 15, 2026Robyn Larracy, Anant Gupta, Gourav Gupta +8Biometric Identification Benchmark Design
University of New Brunswick, Canada · ArogyaPandit Private Limited, India · Universit´e de Haute-Alsace, IRIMAS UR 7499, France +1
A non-invasive video-based method for individual identification of wildlife using gait dynamics
Jul 5, 2026Muhammad Aamir, Matthew Wijers, Sangyun Shin +2Biometric Identification Gait Recognition
Department of Computer Science, University of Oxford, Wolfson Building, Parks Rd, Oxford, OX1 3QG, England, United Kingdom · Wildlife Conservation Research Unit, Department of Biology, University of Oxford, Life and Mind Building, South Parks Road, Oxford, OX1 3EL, England, United Kingdom
DiffCrossGait: Trajectory-Level Alignment for 2D-3D Cross-Modal Gait Recognition via Latent Diffusion
May 29, 2026Zhiyang Lu, Ming ChengDiffusion Model Alignment Latent Diffusion Models
1Fujian Key Laboratory of Urban Intelligent Sensing and Com · 2Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Min
Text-guided Feature Disentanglement for Cross-modal Gait Recognition
May 29, 2026Zhiyang Lu, Ming ChengDisentangled Representation Learning Multimodal Robustness
Fujian Key Laboratory of Urban Intelligent Sensing and Computing, Xiamen University. · Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, 361005, P.R. China.
EventGait: Towards Robust Gait Recognition with Event Streams
May 21, 2026Senyan Xu, Shuai Chen, Chuanfu Shen +4Event-Based Vision Gait Analysis
University of Science and Technology of China · University of Electronic Science and Technology of China
Local Spatiotemporal Convolutional Network for Robust Gait Recognition
May 14, 2026Xiaoyun Wang, Cunrong Li, Wu WangConvolutional Neural Networks Gait Recognition
School of Mechanical and Electrical Engineering, Osh State University
Gait Recognition via Deep Residual Networks and Multi-Branch Feature Fusion
Apr 30, 2026Yabo Luo, Xiaoyun Wang, Cunrong LiGait Analysis Gait Recognition
School of Mechanical and Electrical Engineering, Osh State University
GaitKD: A Universal Decoupled Distillation Framework for Efficient Gait Recognition
Apr 29, 2026Yuqi Li, Qian Zhou, Huiran Duan +5Gait Analysis Gait Recognition
The City University of New York · Wuhan University · Beijing Jiaotong University +2
MMGait: Towards Multi-Modal Gait Recognition
Apr 17, 2026Chenye Wang, Qingyuan Cai, Saihui Hou +2Cross-Modal Representation Learning Gait Analysis
School of Artificial Intelligence, Beijing Normal University
BarbieGait: An Identity-Consistent Synthetic Human Dataset with Versatile Cloth-Changing for Gait Recognition
Apr 14, 2026Qingyuan Cai, Saihui Hou, Xuecai Hu +1Gait Recognition Synthetic Data Generation
School of Artificial Intelligence, Beijing Normal University · AMAP, Alibaba Group
Gait Recognition with Temporal Kolmogorov-Arnold Networks
Apr 11, 2026Mohammed Asad, Dinesh Kumar VishwakarmaGait Recognition Kolmogorov-Arnold Networks
Multi-Modal Data Analytics Lab, Department of Information Technology, Delhi Technological University, Delhi, 110042, India
Explicit Time-Frequency Dynamics for Skeleton-Based Gait Recognition
Apr 3, 2026Seoyeon Ko, Yeojin Song, Egene Chung +3Gait Recognition Frequency-Domain Feature Learning
Ewha Womans University, Seoul, Korea · University of Trento, Trento TN, Italy
SilLang: Improving Gait Recognition with Silhouette Language Encoding
Mar 25, 2026Ruiyi Zhan, Guozhen Peng, Canyu Chen +2Gait Recognition Visual Representation Learning
Beihang University · Tsinghua University
Walking Further: Semantic-aware Multimodal Gait Recognition Under Long-Range Conditions
Mar 15, 2026Zhiyang Lu, Wen Jiang, Tianren Wu +4Gait Recognition Camera-LiDAR Fusion
Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University · OPPO Research Institute
Evaluating Large Language Models for Gait Classification Using Text-Encoded Kinematic Waveforms
Mar 4, 2026Carlo Dindorf, Jonas Dully, Rebecca Keilhauer +2LLM Evaluation Gait Analysis
Department of Sports Science, University of Kaiserslautern-Landau (RPTU), Kaiserslautern, Germany · Fraunhofer Institute for Experimental Software Engineering IESE, Kaiserslautern, Germany · German Research Center of Artificial Intelligence, Kaiserslautern, Germany
Sketch It Out: Exploring Label-Free Structural Cues for Multimodal Gait Recognition
Mar 4, 2026Chao Zhang, Zhuang Zheng, Ruixin Li +1Gait Recognition Multimodal Fusion
Chengdu University of Technology, Chengdu, Sichuan, China

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Attribute-Centric Vision-Language Alignment for Fine-Grained Gait Understanding

Saihui Hou, Chenye Wang, Wenpeng Lang, Qiannan Guo+4

School of Artificial Intelligence, Beijing Normal University · The Hong Kong University of Science and Technology · Zhejiang University+3

Gait Recognition Vision-Language Alignment Motion Representation Learning

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Walking sequences reveal human-interpretable attributes related to body structure, posture, and motion. Gait attribute recognition provides a concrete route to fine-grained gait understanding by predicting these attributes. However, existing benchmarks provide limited fine-grained annotations, while classifier-based gait attribute recognition methods typically represent candidate classes through learned output weights rather than directly matching visual evidence with textual class representations. To address the annotation gap, we present RA-GAR, a large-scale, richly annotated multimodal benchmark for gait attribute recognition, containing 1,001 subjects, 242,729 walking sequences, and annotations for 15 static and motion gait attributes. We further propose Gait-VL, an attribute-centric vision-language alignment framework that recognizes gait attributes by matching attribute-specific multi-frame visual evidence with textual class prototypes. On the visual side, attribute-specific learnable queries aggregate RGB features across spatial locations and frames into per-attribute visual embeddings. On the language side, diverse descriptions expanded by a large language model are combined with context about relevant body regions to construct textual class prototypes. Beyond attribute recognition, we evaluate the transferability of the attribute-pretrained visual encoder by using it to replace generic upstream large vision models in identityoriented gait recognition pipelines; attribute pre-training uses no identity classification or metric-learning objectives. Experiments demonstrate state-of-the-art attribute recognition performance on RA-GAR and consistent improvements in downstream identity recognition across multiple pipelines and benchmarks, supporting the effectiveness and transferability of attribute-centric gait representation learning.