Adaptation of known background subtraction methods in the case of a moving PTZ camera mounted on a mobile platform

Abstract

A general method of adaptation of pixel-by-pixel background subtraction models designed for a fixed camera is developed in the case of a PTZ camera mounted on a mobile platform. The method involves the use of two identical pixellevel background models. The first one is directly applied to the classification of the current scene, while the second one is used to prepare the first model for the transformation to the new coordinate system, the one closer to the current position of the PTZ video camera. The chosen solution makes it possible to eliminate a large number of false positives, which inevitably occur after each transformation of the background model. The experimental verification of the developed method using two well-known background models GMM and ViBe demonstrated good quality of the scene classification and low computational load.