Local Eigen Background Substraction

The article describes the extended background modeling based on the well-known Eigenbackground method. The idea presented in the article expands the Eigenbackground method, breaking the scene into many smaller ones, modeling the background separately for each of its sections. This approach allows for better separation of the foreground objects, and better modeling of spots in which the light changes. Furthermore, it also ensures efficient implementation of the algorithm for CUDA graphics cards, separating particular local models into threads. In the future the approach shall also enable users to update models more efficiently when locally there occurs no movement in a given section.