Article

Towards invariance in gait recognition

2018-01-01

Abstract excerpt

The gait of a person is a very attractive biometric as it can be captured from a distance, without the subject's cooperation. However, there is a large number of confounding factors that may dramatically affect its performance. The main objective of this work is to set a path towards full invariance in gait recognition. While recent deep learning techniques have shown promising results in tackling similar problems...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7ceab723-70ed-50bb-bf71-16182668108c
DOI: 10.25560/78205

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Towards invariance in gait recognitionDOI 10.25560/78205Read

Crouch Gait Recognition in the Anatomical Space using Synthetic Gait DataSemantic proximity Read

A Meta Learning Framework for Few Shot Personalized Gait Cycle Generation and ReconstructionSemantic proximity Read

MCDGait: Multimodal Co-Learning Distillation Network with Spatial-Temporal Graph Reasoning for Gait Recognition in the WildSemantic proximity Read

GaitDynamics: A Generative Foundation Model for Analyzing Human Walking and RunningSemantic proximity Read

Design of an Integrated Model for Gait Identification Using DDPG, Sparse Group Lasso, and Stacked GeneralizationSemantic proximity Read

A Study on Human recognition from the Body shapes when Face Identification FailsSemantic proximity Read

An Advanced Attention-Enhanced Hybrid Deep Learning Model for WBSNs’ Gait Pattern RecognitionSemantic proximity Read

GaitEncoder: A Foundation Model of Gait Kinematics for Diverse Clinical Applications and PathologiesSemantic proximity Read

Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning.Semantic proximity Read

Computer Vision-Based Gait Recognition on the Edge: A Survey on Feature Representations, Models, and ArchitecturesSemantic proximity Read

Bidirectional Cross-Task Transfer Learning for Gait Phase Prediction in Frail Older Adults Using Wearable SensorsSemantic proximity Read

Portable in-clinic video-based gait analysis: validation study on prosthetic usersSemantic proximity Read