research-article

Tracking persons using a network of RGBD cameras

Authors:

George Galanakis,

Xenophon Zabulis,

Panagiotis Koutlemanis,

Spiros Paparoulis,

Vassilis KouroumalisAuthors Info & Claims

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 63, Pages 1 - 4

https://doi.org/10.1145/2674396.2674467

Published: 27 May 2014 Publication History

Abstract

A computer vision system that employs an RGBD camera network to track multiple humans is presented. The acquired views are used to volumetrically and photometrically reconstruct and track the humans robustly and in real time. Given the frequent and accurate monitoring of humans in space and time, their locations and walk-through trajectory can be robustly tracked in real-time.

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Cited By

Zidianaki IZidianakis EKontaki EStephanidis C(2020)FAmINE4Android: Empowering Mobile Devices in Distributed Service-Oriented EnvironmentsHCI International 2020 – Late Breaking Posters10.1007/978-3-030-60700-5_21(156-164)Online publication date: 8-Nov-2020
https://doi.org/10.1007/978-3-030-60700-5_21
Maddalena LPetrosino A(2019)Self-organizing background subtraction using color and depth dataMultimedia Tools and Applications10.1007/s11042-018-6741-778:9(11927-11948)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/s11042-018-6741-7
Maddalena LPetrosino A(2018)Background Subtraction for Moving Object Detection in RGBD Data: A SurveyJournal of Imaging10.3390/jimaging40500714:5(71)Online publication date: 16-May-2018
https://doi.org/10.3390/jimaging4050071
Show More Cited By

Tracking persons using a network of RGBD cameras
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

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Information & Contributors

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Published In

cover image ACM Other conferences

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 2014

408 pages

ISBN:9781450327466

DOI:10.1145/2674396

Conference Chair:
Fillia Makedon
University of Texas at Arlington
,
Program Chairs:
Mark Clements
Georgia Institute of Technology
,
Catherine Pelachaud
TELECOM ParisTech, France
,
Vana Kalogeraki
Athens University of Economics and Bus
,
Ilias Maglogiannis
University of Piraeus, Greece

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

iPerform Center: iPerform Center for Assistive Technologies to Enhance Human Performance
CSE@UTA: Department of Computer Science and Engineering, The University of Texas at Arlington
HERACLEIA: HERACLEIA Human-Centered Computing Laboratory at UTA
U of Tex at Arlington: U of Tex at Arlington
NCRS: Demokritos National Center for Scientific Research
Fulbrigh, Greece: Fulbright Foundation, Greece

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2014

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PETRA '14

Sponsor:

iPerform Center
CSE@UTA
HERACLEIA
U of Tex at Arlington
NCRS
Fulbrigh, Greece

PETRA '14: The 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 27 - 30, 2014

Rhodes, Greece

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Cited By

Zidianaki IZidianakis EKontaki EStephanidis C(2020)FAmINE4Android: Empowering Mobile Devices in Distributed Service-Oriented EnvironmentsHCI International 2020 – Late Breaking Posters10.1007/978-3-030-60700-5_21(156-164)Online publication date: 8-Nov-2020
https://doi.org/10.1007/978-3-030-60700-5_21
Maddalena LPetrosino A(2019)Self-organizing background subtraction using color and depth dataMultimedia Tools and Applications10.1007/s11042-018-6741-778:9(11927-11948)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/s11042-018-6741-7
Maddalena LPetrosino A(2018)Background Subtraction for Moving Object Detection in RGBD Data: A SurveyJournal of Imaging10.3390/jimaging40500714:5(71)Online publication date: 16-May-2018
https://doi.org/10.3390/jimaging4050071
Camplani MPaiement AMirmehdi MDamen DHannuna SBurghardt TTao L(2017)Multiple human tracking in RGB-depth data: a surveyIET Computer Vision10.1049/iet-cvi.2016.017811:4(265-285)Online publication date: 1-Jun-2017
https://doi.org/10.1049/iet-cvi.2016.0178
Partarakis NGrammenos DMargetis GZidianakis EDrossis GLeonidis AMetaxakis GAntona MStephanidis C(2017)Digital Cultural Heritage Experience in Ambient IntelligenceMixed Reality and Gamification for Cultural Heritage10.1007/978-3-319-49607-8_19(473-505)Online publication date: 27-Apr-2017
https://doi.org/10.1007/978-3-319-49607-8_19
Payandeh S(2016)On importance sampling in sequential Bayesian tracking of elderly2016 Annual IEEE Systems Conference (SysCon)10.1109/SYSCON.2016.7490545(1-6)Online publication date: Apr-2016
https://doi.org/10.1109/SYSCON.2016.7490545
Payandeh S(2016)Recursive Bayesian tracking for smart elderly living2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)10.1109/IEMCON.2016.7746287(1-7)Online publication date: Oct-2016
https://doi.org/10.1109/IEMCON.2016.7746287

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