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Gait Identification
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A Wearable Gait Monitoring System for 17 Gait Parameters Based on Computer Vision
Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models
Gait Recognition Using 3-D Human Body Shape Inference
Evidence-based Match-status-Aware Gait Recognition for Out-of-Gallery Gait Identification
Human Gait Analysis using Gait Energy Image
Generative GaitNet
Gait Identification under Surveillance Environment based on Human Skeleton
Learning Rich Features for Gait Recognition by Integrating Skeletons and Silhouettes
Gait-based Human Identification through Minimum Gait-phases and Sensors
Binarized Neural Networks for Resource-Constrained On-Device Gait Identification
Taking Modality-free Human Identification as Zero-shot Learning
Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks
Deep CSI Learning for Gait Biometric Sensing and Recognition
Robust Cross-View Gait Recognition with Evidence: A Discriminant Gait GAN (DiGGAN) Approach
You Are How You Walk: Uncooperative MoCap Gait Identification for Video Surveillance with Incomplete and Noisy Data
DeepKey: An EEG and Gait Based Dual-Authentication System
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.