Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review
Gait Recognition · Biometrics · Deep Learning · Computer Vision

Academic research reference · 2023
Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review
Artificial Intelligence Review · Springer
Gait Recognition · Biometrics · Deep Learning · Computer Vision
Publication record
- Venue
- Artificial Intelligence Review
- Publisher
- Springer
- Published
- Published 18 January 2023
- Research area
- Gait Recognition · Biometrics · Deep Learning · Computer Vision
Research summary
A review of deep learning pipelines for gait biometrics, focusing on covariates that affect recognition and the methods used to address them.
Research topics
Research keywords
Research reference
Research → capability → product
This publication informs a research foundation. Connections below describe GaitAI's documented architecture; they do not establish product accuracy, clinical validation or regulatory clearance.
Gait recognition & biometrics
See this paper in GaitScape →Modules directly informed at capability level
Post-event video investigation
Product signals: Trajectory & path · Gait identity · Behaviour patterns
Policy-governed watchlist matching for authorized deployments
Product signals: Gait identity
Shared architecture · 11 additional modules
These modules share platform capabilities. The publication does not directly address their applications.
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