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Multiple Motion Estimation Using Channel Matrices

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Complex Motion (IWCM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3417))

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Abstract

The motion field from image sequences of a dynamic 3D scene is in general piecewise continuous. Since two neighbouring regions may have completely different motions, motion estimation at the discontinuities is problematic. In particular spatial averaging of motion vectors is inappropriate at such positions. We avoid this problem by channel encoding brightness change constraint equations (BCCE) for each spatial position into a channel matrix. By spatial averaging of this channel representation and subsequently decoding we are able to estimate all significantly different motions occurring at the discontinuity, as well as their covariances. This paper extends and improves this multiple motion estimation scheme by locally selecting the appropriate scale for the spatial averaging.

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Author information

Authors and Affiliations

  1. Computer Vision Laboratory, Department of Electrical Engineering, Linköping University, SE-581 83 Linköping, Sweden

    Per-Erik Forssén

  2. R&D ContextVision AB, Storgatan 24, SE-582 23 Linköping, Sweden

    Hagen Spies

Authors
  1. Per-Erik Forssén
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  2. Hagen Spies
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Editor information

Bernd Jähne Rudolf Mester Erhardt Barth Hanno Scharr

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© 2007 Springer Berlin Heidelberg

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Forssén, PE., Spies, H. (2007). Multiple Motion Estimation Using Channel Matrices. In: Jähne, B., Mester, R., Barth, E., Scharr, H. (eds) Complex Motion. IWCM 2004. Lecture Notes in Computer Science, vol 3417. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69866-1_5

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  • DOI: https://doi.org/10.1007/978-3-540-69866-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69864-7

  • Online ISBN: 978-3-540-69866-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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