Human gait recognition via sparse discriminant projection learning

Keyphrases

• Discriminant Analysis 100%
• Human Gait Recognition 100%
• Projection Learning 100%
• Discriminant Projection 100%
• Bilinear 80%
• Matrix Representation 30%
• L2 Norm 20%
• Linear Discriminant Analysis 20%
• Discriminant Space 20%
• Subspace Learning 20%
• Optimization Problem 10%
• Iterative Methods 10%
• Close Relationships 10%
• Biometric Features 10%
• Gait Recognition 10%
• Competitive Performance 10%
• Sparse Subspace 10%
• CASIA 10%
• Human Gait 10%
• Video Surveillance 10%
• Sparse Regression 10%
• Gait Feature Extraction 10%
• Gait Database 10%

Engineering

• Matrix Representation 100%
• Gait Recognition 100%
• Feature Extraction 33%
• Optimisation Problem 33%
• Closed Form Solution 33%
• Linear Analysis 33%
• Biometric Feature 33%
• Objective Function 33%
• Nonzero Element 33%

Computer Science

• Gait Recognition 100%
• Discriminant Analysis 100%
• Matrix Representation 30%
• Linear Discriminant Analysis 20%
• Video Surveillance 10%
• Optimization Problem 10%
• Objective Function 10%
• Biometric Feature 10%
• Nonzero Element 10%
• Feature Extraction 10%