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

Naotomo Tatematsu, Jun Ohya, Larry Davis

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    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
    Pages (from-to)19-34
    Number of pages16
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume8971
    DOIs
    Publication statusPublished - 2015

    Keywords

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

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Fingerprint Dive into the research topics of 'Detection and segmentation of moving objects from dynamic RGB and depth images'. Together they form a unique fingerprint.

  • Cite this