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
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.
Ullmann, S.: The Interpretation of Visual Motion. MIT Press, Cambridge and London 1979.
Girosi, F., Verri, A., & Torre, V.: Constraints in the Computation of Optical Flow. Proceedings of the IEEE Workshop on Visual Motion, Irvine CA 1989.
Lanczos, C.: Linear Differential Operators. D. Van Nostrand Company, London 1961.
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
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