Background characterization using a second-order moment function
Marija Strojnik Scholl, Gabriel Udomkesmalee · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
A typical object recognition problem deals mainly with the characterization of objects and treats background as noise. However, in many applications, we can assume the reverse. Intuitively, the background information is easier to describe in terms of intensity distributions (textures), while the unknown nature of objects' types and positions poses a more difficult formulation for general pattern recognition problems. In this paper, we propose the use of a second order moment function to describe the scene. Various types of backgrounds and objects are evaluated, and results from this experiment are presented.