Eigenbackground Bootstrapping

摘要

A new method for initializing Eigenbackground is proposed. The approach does not require supervised or lengthy training, but instead is bootstrapped as a single unobstructed background frame is used to exploit spatial information in place of gathering a temporal history to generate pixel statistics. Experimental results indicate that the bootstrapped Eigenback-ground performed comparable to and sometimes better than the supervised Eigenbackground on a standard background subtraction data set.