Abstract
In the real-time segmentation of the moving objects in an image sequence, methods based on background subtraction are used widely. Bipolar radial reach correlation (BP-RRC) has realized robust background subtraction through the evaluation of a local texture per pixel to suppress the influence of brightness variations. However, this method has the weak point that it is affected by nonstatic backgrounds. We propose a robust and stabilized background subtraction algorithm that can cope with texture changes caused by various illumination changes and nonstatic backgrounds by improving this texture background model. We verified the proposed method using image sequences that include a loose lighting variation, a rapid lighting variation, and a moving object in the background. We proved that the adaptability of the proposed method is higher than that of the conventional method on a nonstatic background as a result of verification.
