GaitFormer Official Codebase for the paper "Learning Gait Representations with Noisy Multi-Task Learning"
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Updated
Feb 22, 2023 - Python
GaitFormer Official Codebase for the paper "Learning Gait Representations with Noisy Multi-Task Learning"
An Effective Pretreatment Strategy for Gait Recognition
The benchmark experiments of paper "ReSGait: The real scene gait dataset".
3903-People-Gait-Recognition-Data-in-Surveillance-Scenes
Gait recognition system based on YOLOv8
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.
1472-People-Gait-Recognition-Data-in-Surveillance-Scenes
Spatio-Temporal Domain Adaptation for Gait Based User Recognition from Radar Data
In this work, we propose a method of gait recognition using a conditional generative model to generate view-invariant features and overcome appearance variations due to changes of clothing, carrying conditions, and view angle.
Using a RNN to detect pathological gaits from sequential skeleton data collected with an Azure Kinect sensor (link below).
Autoencoder for gait recognition and elderly monitoring.
Using encoder-decoder neural networks to learn representations of personal walking style, and generating person-specific gait for desired activities.
Experiments on obtaining, modeling and reacting over different walking scenarios.
Smart Shoe for GAIT and activity recognition.
A project to perform people identification at a distance using face and gait data with deep learning
PyTorch implementation of the paper "3D Gait Recognition Based on a CNN-LSTM Network with the Fusion of SkeGEI and DA Features" (AVSS 2019).
Official repository for "GaitMixer: Skeleton-based Gait Representation Learning via Wide-spectrum Multi-axial Mixer"
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