Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle

Computer Science

• Autoencoder 50%
• Computer Vision 50%
• Experimental Result 50%
• Invariant Representation 100%
• Logistic Regression 50%
• Motion Pattern 50%
• Particle Filter 50%
• Tracking Method 50%
• Training Sample 100%
• Unlabeled Data 50%
• Visual Representation 100%

Keyphrases

• Discriminative Tracking 25%
• Particle Filter Framework 25%
• Self-taught Learning 100%
• Slowness Principle 100%
• Stacked Convolutional Autoencoder 25%