On-Line color calibration in non-stationary environments

Authors:
Federico Anzani;Daniele Bosisio;Matteo Matteucci;Domenico G. Sorrenti
Affiliations:
Politecnico di Milano;Politecnico di Milano;Politecnico di Milano;Università di Milano, Bicocca
Venue:
RoboCup 2005
Year:
2006

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Abstract

In this paper we propose an approach to color classification and image segmentation in non-stationary environments. Our goal is to cope with changing illumination condition by on-line adapting both the parametric color model and its structure/complexity. Other authors used parametric statistics to model color distribution in segmentation and tracking problems, but with a fixed complexity model. Our approach is able to on-line adapt also the complexity of the model, to cope with large variations in the scene illumination and color temperature.