Background Subtraction Using Edge Cues and Color Difference for Stabilized CMOS Images

Video stabilization followed by background subtraction using CMOS sensor shows erroneous foregrounds. In this paper, we present a background subtraction method using edge cues and color difference to deal with preprocessed stabilized images. We use a non-parametric background model with edge cues based on the observation that interpolation errors are larger in textured regions than in homogeneous regions. By additional CIELab difference model, we show that misclassifications are dramatically decreased than conventional background subtraction methods.