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Cooperative Coevolution Fusion for Moving Object Detection
Sohail Nadimi and Bir Bhanu
Center for Research in Intelligent Systems, University of California, Riverside, 92521sohail@cris.ucr.edu
bhanu@cris.ucr.edu
Abstract. In this paper we introduce a novel sensor fusion algorithm based on the cooperative coevolutionary paradigm. We develop a multisensor robust moving object detection system that can operate under a variety of illumination and environmental conditions. Our experiments indicate that this evolutionary paradigm is well suited as a sensor fusion model for different sensing modalities.
LNCS 3102, p. 587 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2004