Gait Recognition
54 papers with code • 2 benchmarks • 9 datasets
( Image credit: GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition )
Libraries
Use these libraries to find Gait Recognition models and implementations
Gait3D
CASIA-B
TUM-GAID
CCGR
OUMVLP-Pose
Gait3D-Parsing
PsyMo
Most implemented papers
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
AbnerHqC/GaitSet
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In this paper we present a novel perspective, where a gait is regarded as a set consisting of independent frames.
Human Gait Database for Normal Walk Collected by Smartphone Accelerometer
Gait recognition is the characterization of unique biometric patterns associated with each individual which can be utilized to identify a person without direct contact.
GaitPart: Temporal Part-Based Model for Gait Recognition
shiqiyu/opengait
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CVPR 2020
Gait recognition, applied to identify individual walking patterns in a long-distance, is one of the most promising video-based biometric technologies.
GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition
tteepe/GaitGraph
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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
Gait recognition is a promising biometric with unique properties for identifying individuals from a long distance by their walking patterns.
GaitGL: Learning Discriminative Global-Local Feature Representations for Gait Recognition
bb12346/gaitgl
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GFR extractor aims to extract contextual information, e. g., the relationship among various body parts, and the mask-based LFR extractor is presented to exploit the detailed posture changes of local regions.
An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions
For the cloth-changing problem, video-based ReID is rarely studied due to the lack of a suitable cloth-changing benchmark, and gait recognition is often researched under controlled conditions.
Cross-Covariate Gait Recognition: A Benchmark
shinanzou/ccgr
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Compared to existing datasets, CCGR has both population and individual-level diversity.
BigGait: Learning Gait Representation You Want by Large Vision Models
shiqiyu/opengait
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Gait recognition stands as one of the most pivotal remote identification technologies and progressively expands across research and industry communities.
Deep Learning-Based Gait Recognition Using Smartphones in the Wild
qinnzou/Gait-Recognition-Using-Smartphones
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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.
