Pedestrian detection system using cascaded boosting with invariance of oriented gradients

Engineering

• Detection Performance 100%
• Histogram 100%
• Experimental Result 66%
• Input Image 66%
• Feature Vector 66%
• Gaussians 66%
• Linear Interpolation 66%
• Learning Algorithm 33%
• Aspect Ratio 33%
• Feature Extraction 33%
• Computational Time 33%
• Rotational 33%
• Adaboost 33%
• Detection Process 33%
• Extraction Process 33%
• Gradient Magnitude 33%

Keyphrases

• Oriented Gradients 100%
• Pedestrian Detection System 100%
• Weight Window 66%
• Histogram of Oriented Gradient Feature 66%
• Window Approach 33%
• Weak Classifier 33%
• Cascade Detector 33%
• Normalized Histogram 33%
• Multivariate Gaussian 33%
• Self-learning Algorithm 33%

Computer Science

• Weak Classifier 33%