Region Based Fuzzy Background Subtraction Using Choquet Integral

Abstract

Background subtraction, is a widely used method for identifying moving objects in multimedia applications such as video surveillance. Deterministic approaches are the first applications in literature, and they followed statistical approaches; however, more recently prediction-based filter approaches are preferred by researchers. The methods suggested for background subtraction in traffic surveillance applications, which are subject to many uncertainties, such as illumination noise, sudden changes in ambient light and structural changes, have to date failed to satisfy the requirements. Fuzzy approaches in the Artificial Intelligence method are widely used by researchers to eliminate uncertainties within the problem. In this study, a fuzzy background subtraction method, using choquet integral that process certain group of pixels together in order to eliminate uncertainties is suggested. The method is tested on traffic surveillance dataset, leading to satisfying results.