Histogram of Oriented Gradients

A feature descriptor technique used in computer vision for object detection that counts occurrences of gradient orientations in localized portions of an image. HOG captures edge and texture information by dividing the image into cells and computing gradient direction histograms. In accessibility applications, HOG descriptors are commonly paired with Support Vector Machine classifiers for gesture recognition, enabling assistive technology systems to identify hand shapes and body movements for alternative computer input.