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: Chapter in Book/Report/Conference proceeding › Chapter

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
Title of host publication	Transactions on Edutainment XI
Publisher	Springer Berlin Heidelberg
Pages	19-34
Number of pages	16
ISBN (Print)	9783662482476, 9783662482469
DOIs	https://doi.org/10.1007/978-3-662-48247-6_2
Publication status	Published - 2015 Sept 11

Keywords

Fixation-based segmentation
Kinect
Reconstruction
Segmentation
Temporal modified RANSAC

ASJC Scopus subject areas

Social Sciences(all)
Computer Science(all)

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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",

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AU - Davis, Larry

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KW - Reconstruction

KW - Segmentation

KW - Temporal modified RANSAC

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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