Robust Background Subtraction by Statistical Reach Feature on Random Reference Points

Abstract

Extracting a robust feature set in a given image sequence is an important fundamental technique that influences the performance of various computer vision systems. A statistic reach feature (SRF) is a stable feature for robust background subtraction. The SRF is defined as two arbitrary points that maintain the sign of the increase and decrease of the brightness in the image sequence. This paper describes the process of accelerating the construction of a background model using some point pairs chosen at random.