SVM-BASED HUMAN DETECTION COMBINING SELF-QUOTIENT ε-FILTER AND HISTOGRAMS OF ORIENTED GRADIENTS

摘要

This paper describes a noise robust SVM-based human detection combining self-quotient ε-filter (SQEF) and histograms of oriented gradients (HOG). Although human detection combining HOG and SVM is a powerful approach, as it uses local intensity gradients, it is difficult to handle noise corrupted images. To handle noise corrupted images, we introduce self-quotient ε-filter (SQEF), and implement it in human detection combining HOG and SVM. SQEF is an advanced self-quotient filter (SQF), and can clearly extract features from the images not only when they have illumination variations but also when they are corrupted with noise. The new approach gives a robust human detection from noise corrupted images using the data trained by intact images without noise.