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Spatio-temporal robust motion estimation and segmentation

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Computer Analysis of Images and Patterns (CAIP 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 970))

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Abstract

In this paper, a general spatio-temporal framework for motion estimation is presented. It allows to estimate a fully parametric motion model over an image sequence. As parametric models describe one motion only, a robust estimator is introduced in order to cope with several moving objects. The motion segmentation algorithm combines luminance and the composition of all the motions detected over a set of successive frames for motion boundaries estimation.

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Václav Hlaváč Radim Šára

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© 1995 Springer-Verlag Berlin Heidelberg

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Duc, B., Schroeter, P., Bigün, J. (1995). Spatio-temporal robust motion estimation and segmentation. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_302

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  • DOI: https://doi.org/10.1007/3-540-60268-2_302

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60268-2

  • Online ISBN: 978-3-540-44781-8

  • eBook Packages: Springer Book Archive

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