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Motion Segmentation Using Seeded Region Growing

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Part of the book series: Computational Imaging and Vision ((CIVI,volume 18))

Abstract

Motion based segmentation techniques usually begin with an estimate of the velocity flow field and utilise clustering techniques to segment the flow field. This paper investigates the practicality of performing segmentation using the information typically applied to the velocity estimation stage. A region growing process is described that can reliably segment rigid objects observed by moving cameras without requiring shape or motion models.

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© 2002 Kluwer Academic/Plenum Publishers

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Beare, R., Talbot, H. (2002). Motion Segmentation Using Seeded Region Growing. In: Goutsias, J., Vincent, L., Bloomberg, D.S. (eds) Mathematical Morphology and its Applications to Image and Signal Processing. Computational Imaging and Vision, vol 18. Springer, Boston, MA. https://doi.org/10.1007/0-306-47025-X_24

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  • DOI: https://doi.org/10.1007/0-306-47025-X_24

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-7923-7862-4

  • Online ISBN: 978-0-306-47025-7

  • eBook Packages: Springer Book Archive

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