Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor

Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor

Non-contact human body measurement plays an important role in surveillance, physical healthcare, on-line business and virtual fitting. Current methods for measuring the human body without physical contact usually cannot handle humans wearing clothes, which limits their applicability in public enviro...

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Main Authors: Xu, Huanghao, Yu, Yao, Zhou, Yu, Li, Yang, Du, Sidan
Format: Online
Language:English
Published: MDPI 2013
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821305/
id pubmed-3821305
recordtype oai_dc
spelling pubmed-38213052013-11-09 Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor Xu, Huanghao Yu, Yao Zhou, Yu Li, Yang Du, Sidan Article Non-contact human body measurement plays an important role in surveillance, physical healthcare, on-line business and virtual fitting. Current methods for measuring the human body without physical contact usually cannot handle humans wearing clothes, which limits their applicability in public environments. In this paper, we propose an effective solution that can measure accurate parameters of the human body with large-scale motion from a Kinect sensor, assuming that the people are wearing clothes. Because motion can drive clothes attached to the human body loosely or tightly, we adopt a space-time analysis to mine the information across the posture variations. Using this information, we recover the human body, regardless of the effect of clothes, and measure the human body parameters accurately. Experimental results show that our system can perform more accurate parameter estimation on the human body than state-of-the-art methods. MDPI 2013-08-26 /pmc/articles/PMC3821305/ /pubmed/24064597 http://dx.doi.org/10.3390/s130911362 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Xu, Huanghao
Yu, Yao
Zhou, Yu
Li, Yang
Du, Sidan
spellingShingle Xu, Huanghao
Yu, Yao
Zhou, Yu
Li, Yang
Du, Sidan
Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor
author_facet Xu, Huanghao
Yu, Yao
Zhou, Yu
Li, Yang
Du, Sidan
author_sort Xu, Huanghao
title Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor
title_short Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor
title_full Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor
title_fullStr Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor
title_full_unstemmed Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor
title_sort measuring accurate body parameters of dressed humans with large-scale motion using a kinect sensor
description Non-contact human body measurement plays an important role in surveillance, physical healthcare, on-line business and virtual fitting. Current methods for measuring the human body without physical contact usually cannot handle humans wearing clothes, which limits their applicability in public environments. In this paper, we propose an effective solution that can measure accurate parameters of the human body with large-scale motion from a Kinect sensor, assuming that the people are wearing clothes. Because motion can drive clothes attached to the human body loosely or tightly, we adopt a space-time analysis to mine the information across the posture variations. Using this information, we recover the human body, regardless of the effect of clothes, and measure the human body parameters accurately. Experimental results show that our system can perform more accurate parameter estimation on the human body than state-of-the-art methods.
publisher MDPI
publishDate 2013
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821305/
_version_ 1612024665045204992

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