Counting People Based on Linear, Weighted, and Local Random Forests

Keyphrases

• Random Forest 100%
• People-based 100%
• Linear Weights 100%
• Counting People 100%
• Train Station 66%
• Extracting Features 33%
• Deep Learning 33%
• Regression-based Method 33%
• Recent Trends 33%
• Linear Regression 33%
• Regression Approach 33%
• Station Platform 33%
• Density Level 33%
• Linear Transformation 33%
• Density Estimation 33%
• Heavy Occlusion 33%
• CCTV Images 33%
• UCSD Dataset 33%
• Patch-based 33%
• Subwindows 33%
• Perspective Distortion 33%
• State-of-the-art Models 33%

Computer Science

• Random Decision Forest 100%
• Deep Learning 50%
• Linear Transformation 50%