Detection and segmentation of moving objects from dynamic RGB and depth images

Naotomo Tatematsu, Jun Ohya, Larry Davis

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    This paper proposes a method that combines Temporal Modified-RANSAC(TMR) with a fixation-based segmentation algorithm for reconstructing the 3D structure of moving and still objects that are tracked in video and depth image sequences acquired by moving Kinect

    Original languageEnglish
    Title of host publicationTransactions on Edutainment XI
    PublisherSpringer Berlin Heidelberg
    Pages19-34
    Number of pages16
    ISBN (Print)9783662482476, 9783662482469
    DOIs
    Publication statusPublished - 2015 Sep 11

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    Keywords

    • Fixation-based segmentation
    • Kinect
    • Reconstruction
    • Segmentation
    • Temporal modified RANSAC

    ASJC Scopus subject areas

    • Social Sciences(all)
    • Computer Science(all)

    Cite this

    Tatematsu, N., Ohya, J., & Davis, L. (2015). Detection and segmentation of moving objects from dynamic RGB and depth images. In Transactions on Edutainment XI (pp. 19-34). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-48247-6_2