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2D Motion Analysis by Fuzzy Pattern Comparator

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Computer Analysis of Images and Patterns (CAIP 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1689))

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Abstract

The motion analysis plays an important role in the broad range of applications, such as visual feedback control, scene reconstruction and similar. In this paper the technique for 2D-motion analysis based on displacement vector determination is described. In our approach we have used the device called Fuzzy Pattern Comparator (FPC) and develop the fuzzy algorithm based on novel, cylindrical fuzLy sets of directions. Their introduction made the calculation of displacement vector direction and magnitude quite simple. The method was verfied experimentally and used in final positioning of the robot arm.

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References

  1. Hans-Helmut Nagel, W. Enkelmann: An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Image Sequences, in book Computer Vision Principles, pp. 498–526, Eds. R. Kasturi and R. C. Jain, IEEE Computer Society Press, 1991

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© 1999 Springer-Verlag Berlin Heidelberg

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Bonkovid, M., Stipanicev, D., Stula, M. (1999). 2D Motion Analysis by Fuzzy Pattern Comparator. In: Solina, F., Leonardis, A. (eds) Computer Analysis of Images and Patterns. CAIP 1999. Lecture Notes in Computer Science, vol 1689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48375-6_57

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  • DOI: https://doi.org/10.1007/3-540-48375-6_57

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66366-9

  • Online ISBN: 978-3-540-48375-5

  • eBook Packages: Springer Book Archive

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