Background Subtraction

Background subtraction is a technique used in image processing to detect and isolate moving objects in a scene. It works by first creating a model of the static background, capturing a baseline image over time. When new images are taken, the system compares them to this background model to identify differences, which usually signify moving objects, like people or vehicles. This method is commonly used in surveillance, traffic monitoring, and video analysis, allowing for the effective tracking of objects against a stable backdrop.