SOTAVerified

Gait Recognition

( Image credit: GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition )

Papers

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Showing 151–200 of 220 papers

TitleStatusHype
BGaitR-Net: Occluded Gait Sequence reconstructionwith temporally constrained model for gait recognition—0
A Benchmark for Gait Recognition under Occlusion Collected by Multi-Kinect SDAS—0
The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification—0
Cross-View Gait Recognition With Deep Universal Linear Embeddings—0
VersatileGait: A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation—0
WildGait: Learning Gait Representations from Raw Surveillance Streams—0
Sequential convolutional network for behavioral pattern extraction in gait recognition—0
SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait RecognitionCode0
Deep Gait Recognition: A Survey—0
Performance Evaluation of Convolutional Neural Networks for Gait Recognition—0
Multimodal Gait Recognition for Neurodegenerative DiseasesCode0
Associated Spatio-Temporal Capsule Network for Gait Recognition—0
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios—0
Classification of Pathological and Normal Gait: A Survey—0
Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation—0
Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules—0
View-Invariant Gait Recognition with Attentive Recurrent Learning of Partial Representations—0
Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN—0
Simultaneous Energy Harvesting and Gait Recognition using Piezoelectric Energy Harvester—0
iLGaCo: Incremental Learning of Gait Covariate Factors—0
Gait Recognition using FMCW Radar and Temporal Convolutional Deep Neural Networks—0
Gait Lateral Network: Learning Discriminative and Compact Representations for Gait Recognition—0
Gait Recognition from a Single Image using a Phase-Aware Gait Cycle Reconstruction Network—0
Feature Learning for Accelerometer based Gait RecognitionCode0
Person Re-identification by analyzing Dynamic Variations in Gait Sequences—0
Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features—0
Vision-based techniques for gait recognition—0
JointsGait:A model-based Gait Recognition Method based on Gait Graph Convolutional Networks and Joints Relationship Pyramid Mapping—0
Temporal Sparse Adversarial Attack on Sequence-based Gait Recognition—0
Scattering Features for Multimodal Gait Recognition—0
RGait-NET: An Effective Network for Recovering Missing Information from Occluded Gait Cycles—0
Biometrics Recognition Using Deep Learning: A SurveyCode0
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gaitCode0
CHD:Consecutive Horizontal Dropout for Human Gait Feature Extraction—0
Responsible Facial Recognition and Beyond—0
On Learning Disentangled Representations for Gait Recognition—0
Gait recognition via deep learning of the center-of-pressure trajectory—0
EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors—0
Learning Joint Gait Representation via Quintuplet Loss Minimization—0
GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data—0
Topological signature for periodic motion recognition—0
Gait Recognition via Disentangled Representation Learning—0
Towards Human Body-Part Learning for Model-Free Gait Recognition—0
Trait of Gait: A Survey on Gait Biometrics—0
Robust Cross-View Gait Recognition with Evidence: A Discriminant Gait GAN (DiGGAN) ApproachCode0
Deep Learning-Based Gait Recognition Using Smartphones in the WildCode0
Multimodal feature fusion for CNN-based gait recognition: an empirical comparison—0
Person Identification from Partial Gait Cycle Using Fully Convolutional Neural Network—0
Feature Map Pooling for Cross-View Gait Recognition Based on Silhouette Sequence Images—0
Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches—0
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All datasetsOUMVLPGait3D

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GaitMMAveraged rank-1 acc(%)97—Unverified
2HSTLAveraged rank-1 acc(%)92.4—Unverified
3CSTLAveraged rank-1 acc(%)91—Unverified
43DLocalAveraged rank-1 acc(%)90.9—Unverified
5ReverseMaskAveraged rank-1 acc(%)90.9—Unverified
6GaitSTRAveraged rank-1 acc(%)90.2—Unverified
7GaitSetAveraged rank-1 acc(%)87.1—Unverified
#ModelMetricClaimedVerifiedStatus
1HSTLRank-161.3—Unverified
2SMPLGaitRank-146.3—Unverified