A flexible, effective and fast cross-view gait recognition network

This is the code for the paper "Gait Recognition in the Wild with Dense 3D Representations and A Benchmark. (CVPR 2022)", "Gait Recognition in the Wild with Multi-hop Temporal Switch", "Parsing is All You Need for Accurate Gait Recognition in the Wild", and "It Takes Two: Accurate Gait Recognition in the Wild via Cross-granularity Alignment".

Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Gait demo for tutorial of ICPR 2016

Multimodal Dataset of Freezing of Gait in Parkinson's Disease

An End-to-end Network for Gait Based Human Identification

Gait recognition system based on deep learning models.

This is the code for the paper "Jinkai Zheng, Xinchen Liu, Chenggang Yan, Jiyong Zhang, Wu Liu, Xiaoping Zhang and Tao Mei: TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition. ISCAS 2021" (Best Paper Award - Honorable Mention)

Official repository for "GaitMixer: Skeleton-based Gait Representation Learning via Wide-spectrum Multi-axial Mixer" (ICASSP 2023)

GaitFormer Official Codebase for the paper "Learning Gait Representations with Noisy Multi-Task Learning"

Source code for the Gait Recognition using LSTM, presented in the paper "Multi-model Long Short-term Memory Network for Gait Recognition using Window-based Data Segment"

Raw dataset from "Signal Processing and Machine Learning for Diplegia Classification" and "Gait-Based Diplegia Classification Using LSMT Networks"

Gait recognition system based on YOLOv8

An Effective Pretreatment Strategy for Gait Recognition

The benchmark experiments of paper "ReSGait: The real scene gait dataset".

Official Implementation of Open-Set Biometrics: Beyond Good Closed-Set Models (ECCV 2024)

Official codebase for "Exploring Self-Supervised Vision Transformers for Gait Recognition in the Wild"

Project for the exam of Fundamentals of Computer Vision and Biometrics in the first year of the master's degree in CyberSecurity

AdaptiveGaitSegNet: A deep learning framework for binary gait classification (normal vs parkinsonian) using the Parkinson’s disease dataset, featuring Focal Convolution and Edge-Aware Pooling. Includes preprocessing, training, and evaluation pipelines with PyTorch.