Stacked Progressive Auto-Encoders for Clothing-Invariant Gait Recognition

TzeWei Yeoh; Hernán Aguirre; Kiyoshi Tanaka

doi:10.1007/978-3-319-64698-5_14

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Stacked Progressive Auto-Encoders for Clothing-Invariant Gait Recognition

TzeWei Yeoh Hernán Aguirre Kiyoshi Tanaka

Year: 2017 Lecture notes in computer science Pages: 151-161 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-64698-5_14

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Keywords:

Clothing Gait Computer science Invariant (physics) Biometrics Artificial intelligence Computer vision Encoder Pattern recognition (psychology) Treadmill Physical medicine and rehabilitation Mathematics Medicine

Metrics

Cited By

1.34

FWCI (Field Weighted Citation Impact)

Refs

0.77

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Stacked Progressive Auto-Encoders for Clothing-Invariant Gait Recognition

Metrics

Citation History

Topics

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