Background modeling by subspace learning on spatio-temporal patches

► We model the background in surveillance scenes by online PCA in brick level. ► STPBM is robust to various illumination changes in real surveillance scenario. ► STPBM can capture subtle variations of foreground in low contrast effectively. ► STPBM is capable to adapt challenging busy scenes well and quickly.