Dynamic background subtraction based on appearance and motion pattern

Abstract

Moving objects detection plays a critical role in computer vision application, since it usually is the first phase in video processing. Most traditional methods are used in static scenes, however not perform well in dynamic situations, or they can only overcome limited perturbation. In this paper, we propose a stereo local binary pattern based on appearance and motion (SLBP-AM) descriptor for back-ground modeling and objects detection. We regard the motion of pixels as dynamic texture in ellipsoidal domain, and combine texture histograms in the XY, XT, YT planes in the ellipsoid as the new descriptor for background subtraction. Compared with traditional local binary pattern (LBP) descriptor, experiment results show that the new proposed method can not only be robust to slight disturbance, but also adapt quickly to the large-scale and sudden changes.