A curated list of Gait Recognition and related area resource
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Updated
May 19, 2024
A curated list of Gait Recognition and related area resource
1472-People-Gait-Recognition-Data-in-Surveillance-Scenes
3903-People-Gait-Recognition-Data-in-Surveillance-Scenes
100-People-Gait-Recognition-Data
Gait Recognition with 3D CNN. This project proposes a novel approach using 3D convolutional neural networks (3D CNN) to capture spatio-temporal features of gait sequences for robust recognition in an un-intrusive manner.
Repository for the WACV 2024 paper "PsyMo: A Dataset for Estimating Self-Reported Psychological Traits from Gait"
Deep Learning-Based Gait Recognition Using Smartphones in the Wild
Gait recognition system based on YOLOv8
Using a RNN to detect pathological gaits from sequential skeleton data collected with an Azure Kinect sensor (link below).
Official repository for "GaitMixer: Skeleton-based Gait Representation Learning via Wide-spectrum Multi-axial Mixer"
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", and "Parsing is All You Need for Accurate Gait Recognition in the Wild".
Using encoder-decoder neural networks to learn representations of personal walking style, and generating person-specific gait for desired activities.
Autoencoder for gait recognition and elderly monitoring.
Wearable gait event detection device with real-time gait event-dependent feedback. Heel-strike events accuracy was validated with floor-embedded force plates.
Spatio-Temporal Domain Adaptation for Gait Based User Recognition from Radar Data
Gait recognition system based on deep learning models.
An Effective Pretreatment Strategy for Gait Recognition
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 codebase for "Exploring Self-Supervised Vision Transformers for Gait Recognition in the Wild"
GaitFormer Official Codebase for the paper "Learning Gait Representations with Noisy Multi-Task Learning"
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