HOG (Histogram of Oriented Gradients)

Histogram of Oriented Gradients (HOG) is a feature descriptor used in computer vision for object detection. It analyzes images by breaking them into small sections, calculating the direction and strength of edges in those sections. These edges, or gradients, are crucial for understanding shapes. HOG then creates a histogram that summarizes these gradients, helping algorithms recognize patterns and objects, like humans or vehicles. It's widely used in applications like surveillance, autonomous vehicles, and image recognition because it effectively captures the shape and structure of objects, making detection more efficient and accurate.