Fusing time-of-flight depth and color for real-time segmentation and tracking

Amit Bleiweiss; Michael Werman

doi:10.1007/978-3-642-03778-8_5

Fusing time-of-flight depth and color for real-time segmentation and tracking

Amit Bleiweiss^*, Michael Werman

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

66 Scopus citations

Abstract

We present an improved framework for real-time segmentation and tracking by fusing depth and RGB color data. We are able to solve common problems seen in tracking and segmentation of RGB images, such as occlusions, fast motion, and objects of similar color. Our proposed real-time mean shift based algorithm outperforms the current state of the art and is significantly better in difficult scenarios.

Original language	English
Title of host publication	Dynamic 3D Imaging - DAGM 2009 Workshop, Dyn3D 2009, Proceedings
Pages	58-69
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-03778-8_5
State	Published - 2009
Event	DAGM Workshop on Dynamic 3D Imaging, Dyn3D 2009 - Jena, Germany Duration: 9 Sep 2009 → 9 Sep 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5742 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	DAGM Workshop on Dynamic 3D Imaging, Dyn3D 2009
Country/Territory	Germany
City	Jena
Period	9/09/09 → 9/09/09

Access to Document

10.1007/978-3-642-03778-8_5

Cite this

Bleiweiss, A., & Werman, M. (2009). Fusing time-of-flight depth and color for real-time segmentation and tracking. In Dynamic 3D Imaging - DAGM 2009 Workshop, Dyn3D 2009, Proceedings (pp. 58-69). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5742 LNCS). https://doi.org/10.1007/978-3-642-03778-8_5

@inproceedings{1bcdb374a60f44ab9810a30e5df75e32,

title = "Fusing time-of-flight depth and color for real-time segmentation and tracking",

abstract = "We present an improved framework for real-time segmentation and tracking by fusing depth and RGB color data. We are able to solve common problems seen in tracking and segmentation of RGB images, such as occlusions, fast motion, and objects of similar color. Our proposed real-time mean shift based algorithm outperforms the current state of the art and is significantly better in difficult scenarios.",

author = "Amit Bleiweiss and Michael Werman",

year = "2009",

doi = "10.1007/978-3-642-03778-8_5",

language = "אנגלית",

isbn = "3642037771",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "58--69",

booktitle = "Dynamic 3D Imaging - DAGM 2009 Workshop, Dyn3D 2009, Proceedings",

note = "DAGM Workshop on Dynamic 3D Imaging, Dyn3D 2009 ; Conference date: 09-09-2009 Through 09-09-2009",

}

Bleiweiss, A & Werman, M 2009, Fusing time-of-flight depth and color for real-time segmentation and tracking. in Dynamic 3D Imaging - DAGM 2009 Workshop, Dyn3D 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5742 LNCS, pp. 58-69, DAGM Workshop on Dynamic 3D Imaging, Dyn3D 2009, Jena, Germany, 9/09/09. https://doi.org/10.1007/978-3-642-03778-8_5

Fusing time-of-flight depth and color for real-time segmentation and tracking. / Bleiweiss, Amit; Werman, Michael.
Dynamic 3D Imaging - DAGM 2009 Workshop, Dyn3D 2009, Proceedings. 2009. p. 58-69 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5742 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fusing time-of-flight depth and color for real-time segmentation and tracking

AU - Bleiweiss, Amit

AU - Werman, Michael

PY - 2009

Y1 - 2009

N2 - We present an improved framework for real-time segmentation and tracking by fusing depth and RGB color data. We are able to solve common problems seen in tracking and segmentation of RGB images, such as occlusions, fast motion, and objects of similar color. Our proposed real-time mean shift based algorithm outperforms the current state of the art and is significantly better in difficult scenarios.

AB - We present an improved framework for real-time segmentation and tracking by fusing depth and RGB color data. We are able to solve common problems seen in tracking and segmentation of RGB images, such as occlusions, fast motion, and objects of similar color. Our proposed real-time mean shift based algorithm outperforms the current state of the art and is significantly better in difficult scenarios.

UR - http://www.scopus.com/inward/record.url?scp=70350441836&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-03778-8_5

DO - 10.1007/978-3-642-03778-8_5

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:70350441836

SN - 3642037771

SN - 9783642037771

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 58

EP - 69

BT - Dynamic 3D Imaging - DAGM 2009 Workshop, Dyn3D 2009, Proceedings

T2 - DAGM Workshop on Dynamic 3D Imaging, Dyn3D 2009

Y2 - 9 September 2009 through 9 September 2009

ER -

Fusing time-of-flight depth and color for real-time segmentation and tracking

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this