Sparse feature extraction for activity detection using low-resolution IR streams

Computer Science

• Low Resolution Image 100%
• Support Vector Machine 100%
• Random Decision Forest 100%
• Logistic Regression 100%
• Daily Activity 100%
• Component Analysis 100%
• Principal Components 100%
• classification result 100%
• Activity Recognition 100%
• Discriminant Analysis 100%
• Temporal Variation 100%
• Dimensional Feature Space 100%
• Feature Extraction 100%

Keyphrases

• Sparse Feature Extraction 100%
• Sparse Feature 100%
• Activity Detection 100%
• Ultra-Low Resolution 66%
• Sparse Principal Component Analysis 66%
• Single Subject 33%
• Daily Activities 33%
• Low Contrast 33%
• Support Vector Machine 33%
• Noisy Data 33%
• Random Forest 33%
• K-nearest 33%
• Logistic Regression 33%
• Sequence Analysis 33%
• Recognition Method 33%
• Elderly Care 33%
• Data-centric 33%
• Activity Recognition 33%
• Image-based 33%
• Classification Results 33%
• Smart Home 33%
• Temporal Variation 33%
• Infrared Image 33%
• Sparse Discriminant Analysis 33%
• Noise Tolerance 33%
• Sparse Methods 33%
• High-dimensional Feature Space 33%
• Spatial Dependence 33%
• Non-sparse 33%