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An Algorithm for Optical Flow

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Neurocomputing

Part of the book series: NATO ASI Series ((NATO ASI F,volume 68))

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Abstract

The analysis of time-varying image sequences is a classical problem of machine vision (Aggarwal & Nandhakumar, 1988; Ullman, 1979), but is likely to be very useful in robotics, passive navigation and several other fields. Two major approaches have been proposed for the analysis of image sequences: one based on differential techniques aims at computing a dense optical flow, and the other recovers the displacement of selected tokens on the images, by tracking tokens from one image to the next one.

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References

  1. Aggarwal, J.K. & Nandhakumar, N.: On the Computation of Motion from Sequences of Images — A Review. Proceedings of the IEEE, Vol. 76, No. 8, pp.917–935.

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  2. Ullmann, S.: The Interpretation of Visual Motion. MIT Press, Cambridge and London 1979.

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  3. Girosi, F., Verri, A., & Torre, V.: Constraints in the Computation of Optical Flow. Proceedings of the IEEE Workshop on Visual Motion, Irvine CA 1989.

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  4. Lanczos, C.: Linear Differential Operators. D. Van Nostrand Company, London 1961.

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  5. Verri, A., Girosi, F. & Torre, V.: Mathematical Properties of the 2D Motion Fields: from Singular Points to Motion Parameters. Proceedings of the IEEE Workshop on Visual Motion, Irvine CA 1989.

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© 1990 Springer-Verlag Berlin Heidelberg

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De Micheli, E., Radonich, G., Uras, S., Torre, V. (1990). An Algorithm for Optical Flow. In: Soulié, F.F., Hérault, J. (eds) Neurocomputing. NATO ASI Series, vol 68. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76153-9_41

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  • DOI: https://doi.org/10.1007/978-3-642-76153-9_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-76155-3

  • Online ISBN: 978-3-642-76153-9

  • eBook Packages: Springer Book Archive

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