Video Background Subtraction using Multi Background Model & Robust Threshold

Abstract: Video object segmentation and tracking are two essential building blocks of smart surveillance systems. An efficient moving object segmentation algorithm suitable for real-time content-based multimedia communication systems is proposed in this paper. First, the basic idea is to construct a reliable background image using background registration technique. The moving object region is then separated from the background region by comparing the current frame with the constructed background image. An efficient thresholding approach is developed and whole algorithm is divided into four steps and frame difference mask, background difference mask are generated using proposed threshold scheme.

Keywords: Background registration, Thresholding, Background difference mask, Frame difference mask.