Gait Recognition

20 papers with code • 1 benchmarks • 6 datasets

Most implemented papers

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

AbnerHqC/GaitSet 15 Nov 2018

In this paper we present a novel perspective, where a gait is regarded as a set consisting of independent frames.

GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition

tteepe/GaitGraph 27 Jan 2021

However, silhouette images can lose fine-grained spatial information, and most papers do not regard how to obtain these silhouettes in complex scenes.

Towards a Deeper Understanding of Skeleton-based Gait Recognition

tteepe/gaitgraph2 16 Apr 2022

Gait recognition is a promising biometric with unique properties for identifying individuals from a long distance by their walking patterns.

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

qinnzou/Gait-Recognition-Using-Smartphones 1 Nov 2018

Specifically, a hybrid deep neural network is proposed for robust gait feature representation, where features in the space and time domains are successively abstracted by a convolutional neural network and a recurrent neural network.

Robust Cross-View Gait Recognition with Evidence: A Discriminant Gait GAN (DiGGAN) Approach

u112358/DiGGAN 26 Nov 2018

Gait as a biometric trait has attracted much attention in many security and privacy applications such as identity recognition and authentication, during the last few decades.

Biometrics Recognition Using Deep Learning: A Survey

shivamishu/cmpe255 30 Nov 2019

Deep learning-based models have been very successful in achieving state-of-the-art results in many of the computer vision, speech recognition, and natural language processing tasks in the last few years.

GaitPart: Temporal Part-Based Model for Gait Recognition

ChaoFan96/GaitPart CVPR 2020

Gait recognition, applied to identify individual walking patterns in a long-distance, is one of the most promising video-based biometric technologies.

Feature Learning for Accelerometer based Gait Recognition

margitantal68/featurelearning 31 Jul 2020

Feature extractors using similar architectures incorporated into end-to-end models and autoencoders were compared based on their ability of learning good representations for a gait verification system.

iLGaCo: Incremental Learning of Gait Covariate Factors

zihaomu/ilgaco 31 Aug 2020

In this paper, we propose iLGaCo, the first incremental learning approach of covariate factors for gait recognition, where the deep model can be updated with new information without re-training it from scratch by using the whole dataset.