ABSTRACT
Background subtraction (BS) is a popular method for detecting moving objects from static cameras able to achieve real-time performance. BS aims to identify moving regions in image sequences comparing the current frame to a model of the scene background (BG). The creation of such a model is a challenging task due to illumination changes (gradual and sudden), shadows, camera jitter, movement of background elements (e.g., trees swaying in the breeze, waves in water), and changes in the background geometry (e.g., parked cars).
