Fast Robust Eigen-Background Updating for Foreground Detection

Abstract

A fast robust eigen-background update algorithm is proposed for foreground object detection. The update procedure involves no eigen decomposition, thus faster than former eigen-background based algorithms. Meanwhile, the algorithm can robustly maintain the desired background model, resistant to outlying objects.