Background subtraction in OpenCV is a powerful technique for motion detection in video sequences. It involves segmenting the moving foreground from the static background by analyzing pixels over time. OpenCV provides various algorithms such as MOG2 and KNN for background modeling, enabling applications in surveillance, traffic monitoring, and more.
