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.
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References
Nadimi, S., Bhanu, B.: Multistrategy fusion using mixture model for moving object detection. In: Intl. Conf. Multisensor Fusion & Integration for Intelligent Systems, pp. 317–322 (2001)
Potter, M.A., De Jong, K.A.: Cooperative coevolution: an architecture for evolving coadapted subcomponents. Evolutionray Computation 8(1), 1–29 (2000)
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© 2004 Springer-Verlag Berlin Heidelberg
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Nadimi, S., Bhanu, B. (2004). Cooperative Coevolution Fusion for Moving Object Detection. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24854-5_61
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DOI: https://doi.org/10.1007/978-3-540-24854-5_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22344-3
Online ISBN: 978-3-540-24854-5
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