A Combined Self-Configuring Method for Object Tracking in Colour Video

This paper introduces a novel approach to background modelling. We propose using initially a method to extract scene parameters from a sequence of frames. These parameters, together with an initial background model, are used as a starting point for a background subtraction method based on fuzzy logic. Our method permits modelling the background and detecting moving objects in a video sequence without user intervention. The algorithm is designed to work with CIEL*a*b* coordinates with multi modal support and eludes user parameters or fixed or probabilistic thresholds usually found in the traditional background subtraction methods. Quantitative and qualitative results obtained with a well-known benchmark and comparisons with other approaches justify the model.