Histogram of Oriented Gradients (HOG)

Histogram of Oriented Gradients (HOG) is a technique used in image analysis to detect objects by capturing their shape and structure. It works by analyzing small sections of an image to measure the directions and strength of edges (gradients). These measurements are grouped into histograms, which summarize common edge patterns. By comparing these patterns, HOG can identify objects like pedestrians or vehicles within an image, making it a popular choice for computer vision tasks such as recognition and detection.