SVM

Multi scale face detector using HOG features and support vector machine

Leave a Comment / Computer Vision, Image Processing, Machine Learning /

In this part, I trained an SVM over images of  “face” or “not face” (36 × 36 pixels), using HOG features. I used VLFeat library for both HOG and the SVM. Example of face images: Example of nonface images: I divided the dataset into a training and a test set (80% and 20% respectively) and computed the HOG […]

Multi scale face detector using HOG features and support vector machine Read More »

Human detection on mobile camera using HOG and tracking them using Kalman filter

1 Comment / Computer Vision, Image Processing, Machine Learning, Tutorials /

This is the part I of the work that I did for my master thesis (part II). In this work first, I computed HOG (Histogram of oriented gradients) on my images and then sent the computed histogram to a linear SVM (support vector machine). The SVM was trained with human and non-human images. The output of the classifier was

Human detection on mobile camera using HOG and tracking them using Kalman filter Read More »