HOG Features

HOG (Histogram of Oriented Gradients) features are a way computers analyze images by capturing how edges and shapes are oriented. It examines small regions of an image, finds the directions of the edges within each, and summarizes this information into histograms. This helps the computer recognize objects, like detecting a pedestrian in a photo, by focusing on their shape and structure rather than color or texture. HOG is effective because it captures consistent patterns of edges and shapes, making it useful for tasks like object detection in images and videos.