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Found 9 papers, 7 papers with code
Cross-Modality Gait Recognition: Bridging LiDAR and Camera Modalities for Human Identification
Current gait recognition research mainly focuses on identifying pedestrians captured by the same type of sensor, neglecting the fact that individuals may be captured by different sensors in order to adapt to various environments.
Cross-Covariate Gait Recognition: A Benchmark
Compared to existing datasets, CCGR has both population and individual-level diversity.
SkeletonGait: Gait Recognition Using Skeleton Maps
In this paper, we introduce a novel skeletal gait representation named skeleton map, together with SkeletonGait, a skeleton-based method to exploit structural information from human skeleton maps.
OpenGait: Revisiting Gait Recognition Towards Better Practicality
To this end, we first develop a flexible and efficient gait recognition codebase named OpenGait.
LidarGait: Benchmarking 3D Gait Recognition with Point Clouds
Video-based gait recognition has achieved impressive results in constrained scenarios.
OpenGait: Revisiting Gait Recognition Toward Better Practicality
To this end, we first develop a flexible and efficient gait recognition codebase named OpenGait.
A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges
We provide a comprehensive survey on recent literature using deep learning and a discussion on the privacy and security of gait biometrics.
Gait Recognition with Mask-based Regularization
Also, we design an Inception-like ReverseMask Block, which has three branches composed of a global branch, a feature dropping branch, and a feature scaling branch.
Ranked #2 on
Gait Recognition
on OUMVLP
GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality
Gait is one of the most promising biometrics to identify individuals at a long distance.
