Histogram of Oriented Gradients (HOG) is a feature descriptor used in computer vision and image processing for object detection by capturing the distribution of gradient orientations in localized portions of an image. It is particularly effective for detecting humans and other objects in images due to its ability to capture edge and gradient structures while being invariant to geometric and photometric transformations.