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Image and Vision Computing·2023

Comparative Study of Machine Learning and Deep Learning Techniques for Gait Recognition: Advances in Feature Extraction, Reduction, Transformation, and Classification

Gait Recognition · Machine Learning · Deep Learning · Computer Vision

Image and Vision Computing · Elsevier · 2023

This manuscript reference is retained from the research archive. Its publisher record, DOI and publication status have not been independently verified. The external link searches the publisher catalogue by title.

Academic research reference · 2023

Comparative Study of Machine Learning and Deep Learning Techniques for Gait Recognition: Advances in Feature Extraction, Reduction, Transformation, and Classification

Image and Vision Computing · Elsevier

Gait Recognition · Machine Learning · Deep Learning · Computer Vision

Research reference · Elsevier

Publication record

Venue
Image and Vision Computing
Publisher
Elsevier
Published
2023
Research area
Gait Recognition · Machine Learning · Deep Learning · Computer Vision

Research summary

A manuscript reference comparing machine learning and deep learning approaches to gait feature extraction, reduction, transformation and classification. Publication status remains unverified.

Research topics

Gait RecognitionMachine LearningDeep LearningComputer Vision

Research keywords

Gait recognition · Machine learning · Deep learning · Feature extraction · Classification

Research reference

"Comparative Study of Machine Learning and Deep Learning Techniques for Gait Recognition: Advances in Feature Extraction, Reduction, Transformation, and Classification." Image and Vision Computing, Elsevier, 2023.
The full text, abstract and figures are available from the publisher via the links above. Copyright and patent rights remain with their respective rights holders; inclusion does not imply GaitAI authorship or ownership.

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

ForensicSearch

Post-event video investigation

Product signals: Trajectory & path · Gait identity · Behaviour patterns

ReID

Person re-identification across cameras

Product signals: Gait identity · Trajectory & path

Watchlist

Policy-governed watchlist matching for authorized deployments

Product signals: Gait identity

AccessMotion

Gait-enhanced access control

Product signals: Gait identity

Shared architecture · 11 additional modules

These modules share platform capabilities. The publication does not directly address their applications.

Inspect the evidence index →

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