Background subtraction is a computer vision technique used to separate foreground elements from the background in video sequences. By analyzing pixel values over time, it detects changes, allowing for effective object detection, tracking, and segmentation. This method is widely utilized in surveillance, traffic monitoring, and interactive applications.