Learning-based human fall detection using rgb-d cameras

Keyphrases

• Automatic Detection 50%
• Background Subtraction Method 50%
• Color Video 50%
• Depth Map 50%
• Discriminant Analysis 50%
• Experimental Database 50%
• Fall Detection 100%
• Fall Detection System 50%
• Fall Detector 50%
• Fall-related Injuries 100%
• Feature Dimension 50%
• Human Detection 50%
• Human Fall 100%
• Learning-based 100%
• Leave-one-out 50%
• Line Detection 50%
• Machine Learning Techniques 50%
• Manifold Learning Algorithm 50%
• Normalized Cut Segmentation 50%
• Novel Machine 50%
• Offline Learning 50%
• Pixel-wise 50%
• Pose Similarity 50%
• Real-time Surveillance System 50%
• Result-oriented 50%
• RGB-D 50%
• RGB-D Camera 100%
• Segmentation Algorithm 50%
• Systems-based 50%
• Test Validity 50%

Computer Science

• Analysis Technique 100%
• Automatic Detection 100%
• Background Subtraction 100%
• Detection Process 100%
• Discriminant Analysis 100%
• Experimental Result 100%
• Feature Dimension 100%
• Learning Algorithm 100%
• Line Detection 100%
• Machine Learning Technique 100%
• Manifold Learning 100%
• segmentation algorithm 100%

Engineering

• Detection Process 50%
• Experimental Result 50%
• Fall Detection 100%
• Learning Algorithm 50%
• Machine Learning Technique 50%
• Offline Learning 50%
• Similarities 50%
• Surveillance System 50%