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What is HOG Features for Human Detection about?

This document summarizes the steps of the Histograms of Oriented Gradients (HOG) algorithm for human detection: 1. The image is divided into small spatial regions called "blocks", which are then further divided into rectangular "cells". Gradient magnitudes and orientations are computed within each cell. 2. Cell values are combined into a histogram of gradient directions or "orientation bins" for each block region. These histograms capture the distribution of intensity gradients or edge directions over th

Author

vimalfu

Language

EN