Person identification from partial gait cycle using fully convolutional neural networks

Keyphrases

• Autoencoder 20%
• Biometric Properties 20%
• Deep Learning Methods 20%
• Fully Convolutional Neural Network 100%
• Gait 40%
• Gait Cycle 100%
• Gait Dataset 20%
• Gait Energy Image 80%
• Gait Features 40%
• Gait Recognition 20%
• Identification Rate 20%
• Occlusion 20%
• Person Identification 100%
• Security Applications 20%
• Uniform Model 20%
• Video Security 20%
• Video Surveillance Application 20%

Computer Science

• Biometrics 25%
• Coder 25%
• Convolutional Neural Network 100%
• Deep Learning Method 25%
• Experimental Result 25%
• Gait Energy Image 100%
• Gait Recognition 25%
• Security Application 25%
• Video Surveillance 25%