Abstract
Cellular Neural Networks have been recently used for motion detection. Their main advantage lies in the comparative nature of each processor within its local neighborhood. The function of each processor is dependent on the choice of the control and feedback templates. In this paper a new set of templates is introduced. These templates allow the CNN processor to detect object motion in any direction, as well as estimating the motion distance. Experimental results are also introduced to test and verity the accuracy of these templates.
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© 2002 Springer-Verlag Berlin Heidelberg
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Belkasim, S., Basir, O. (2002). Motion Detection Using Cellular Neural Network. In: Abraham, A., Köppen, M. (eds) Hybrid Information Systems. Advances in Soft Computing, vol 14. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1782-9_4
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DOI: https://doi.org/10.1007/978-3-7908-1782-9_4
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1480-4
Online ISBN: 978-3-7908-1782-9
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