Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks

There is a growing interest in 3D content following the recent developments in 3D movies, 3D TVs and 3D smartphones. However, 3D content creation is still dominated by professionals, due to the high cost of 3D motion capture instruments. The availability of a low-cost motion capture system will prom...

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Main Authors: Hyeongseok Oh, Geonho Cha, Songhwai Oh
Format: Article
Language:English
Published: MDPI AG 2014-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/14/3/5516
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spelling doaj-9ab0bfdc07764cd09336609bb9acafbe2020-11-24T21:49:11ZengMDPI AGSensors1424-82202014-03-011435516553510.3390/s140305516s140305516Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor NetworksHyeongseok Oh0Geonho Cha1Songhwai Oh2Department of Electrical and Computer Engineering and ASRI, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-744, KoreaDepartment of Electrical and Computer Engineering and ASRI, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-744, KoreaDepartment of Electrical and Computer Engineering and ASRI, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-744, KoreaThere is a growing interest in 3D content following the recent developments in 3D movies, 3D TVs and 3D smartphones. However, 3D content creation is still dominated by professionals, due to the high cost of 3D motion capture instruments. The availability of a low-cost motion capture system will promote 3D content generation by general users and accelerate the growth of the 3D market. In this paper, we describe the design and implementation of a real-time motion capture system based on a portable low-cost wireless camera sensor network. The proposed system performs motion capture based on the data-driven 3D human pose reconstruction method to reduce the computation time and to improve the 3D reconstruction accuracy. The system can reconstruct accurate 3D full-body poses at 16 frames per second using only eight markers on the subject’s body. The performance of the motion capture system is evaluated extensively in experiments.http://www.mdpi.com/1424-8220/14/3/5516wireless camera sensor networksreal-time systemmotion capture
collection DOAJ
language English
format Article
sources DOAJ
author Hyeongseok Oh
Geonho Cha
Songhwai Oh
spellingShingle Hyeongseok Oh
Geonho Cha
Songhwai Oh
Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks
Sensors
wireless camera sensor networks
real-time system
motion capture
author_facet Hyeongseok Oh
Geonho Cha
Songhwai Oh
author_sort Hyeongseok Oh
title Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks
title_short Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks
title_full Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks
title_fullStr Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks
title_full_unstemmed Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks
title_sort samba: a real-time motion capture system using wireless camera sensor networks
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2014-03-01
description There is a growing interest in 3D content following the recent developments in 3D movies, 3D TVs and 3D smartphones. However, 3D content creation is still dominated by professionals, due to the high cost of 3D motion capture instruments. The availability of a low-cost motion capture system will promote 3D content generation by general users and accelerate the growth of the 3D market. In this paper, we describe the design and implementation of a real-time motion capture system based on a portable low-cost wireless camera sensor network. The proposed system performs motion capture based on the data-driven 3D human pose reconstruction method to reduce the computation time and to improve the 3D reconstruction accuracy. The system can reconstruct accurate 3D full-body poses at 16 frames per second using only eight markers on the subject’s body. The performance of the motion capture system is evaluated extensively in experiments.
topic wireless camera sensor networks
real-time system
motion capture
url http://www.mdpi.com/1424-8220/14/3/5516
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AT geonhocha sambaarealtimemotioncapturesystemusingwirelesscamerasensornetworks
AT songhwaioh sambaarealtimemotioncapturesystemusingwirelesscamerasensornetworks
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