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

Naotomo Tatematsu; Jun Ohya; Larry Davis

doi:10.1007/978-3-662-48247-6_2

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

Naotomo Tatematsu^*, Jun Ohya, Larry Davis

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	19-34
Number of pages	16
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8971
DOIs	https://doi.org/10.1007/978-3-662-48247-6_2
Publication status	Published - 2015

Keywords

Fixation-based segmentation
Kinect
Reconstruction
Segmentation
Temporal modified RANSAC

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

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10.1007/978-3-662-48247-6_2

Cite this

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title = "Detection and segmentation of moving objects from dynamic RGB and depth images",

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",

keywords = "Fixation-based segmentation, Kinect, Reconstruction, Segmentation, Temporal modified RANSAC",

author = "Naotomo Tatematsu and Jun Ohya and Larry Davis",

year = "2015",

doi = "10.1007/978-3-662-48247-6_2",

language = "English",

volume = "8971",

pages = "19--34",

journal = "Lecture Notes in Computer Science",

issn = "0302-9743",

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TY - JOUR

T1 - Detection and segmentation of moving objects from dynamic RGB and depth images

AU - Tatematsu, Naotomo

AU - Ohya, Jun

AU - Davis, Larry

PY - 2015

Y1 - 2015

N2 - 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

AB - 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

KW - Fixation-based segmentation

KW - Kinect

KW - Reconstruction

KW - Segmentation

KW - Temporal modified RANSAC

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U2 - 10.1007/978-3-662-48247-6_2

DO - 10.1007/978-3-662-48247-6_2

M3 - Article

AN - SCOPUS:84941661673

VL - 8971

SP - 19

EP - 34

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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