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Speed invariant gait recognition—The enhanced mutual subspace method
- Source :
- PLoS ONE, PLoS ONE, Vol 16, Iss 8, p e0255927 (2021), PLoS ONE, Vol 16, Iss 8 (2021)
- Publication Year :
- 2021
- Publisher :
- Public Library of Science, 2021.
-
Abstract
- This paper introduces anenhanced MSM(Mutual Subspace Method) methodology for gait recognition, to provide robustness to variations in walking speed. Theenhanced MSM (eMSM)methodology expands and adapts the MSM, commonly used for face recognition, which is a static/physiological biometric, to gait recognition, which is a dynamic/behavioral biometrics. To address the loss of accuracy during calculation of the covariance matrix in the PCA step of MSM, we use a 2D PCA-based mutual subspace. Furhtermore, to enhance the discrimination capability, we rotate images over a number of angles, which enables us to extract richer gait features to then be fused by a boosting method. The eMSM methodology is evaluated on existing data sets which provide variable walking speed, i.e. CASIA-C and OU-ISIR gait databases, and it is shown to outperform state-of-the art methods. While the enhancement to MSM discussed in this paper uses combinations of 2D-PCA, rotation, boosting, other combinations of operations may also be advantageous.
- Subjects :
- Computer science
Physiology
Social Sciences
Walking
Facial recognition system
Pattern Recognition, Automated
Gait (human)
Mathematical and Statistical Techniques
Cognition
Learning and Memory
Psychology
Gait
Principal Component Analysis
Multidisciplinary
Covariance
Covariance matrix
Statistics
Biometrics
Physical Sciences
Medicine
Subspace topology
Algorithms
Research Article
Boosting (machine learning)
Imaging Techniques
Science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Research and Analysis Methods
Face Recognition
Deep Learning
Robustness (computer science)
Memory
Computational Techniques
Humans
Statistical Methods
business.industry
Biological Locomotion
Cognitive Psychology
Biology and Life Sciences
Pattern recognition
Eigenvalues
Random Variables
Probability Theory
Preferred walking speed
ComputingMethodologies_PATTERNRECOGNITION
Algebra
Linear Algebra
Computer Science::Computer Vision and Pattern Recognition
Multivariate Analysis
Cognitive Science
Perception
Artificial intelligence
business
Eigenvectors
Mathematics
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....24e05ae5bb6a3da81a3d184bbd893f68