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...
Ausführliche Beschreibung
Autor*in: |
Sidan Du [verfasserIn] Yang Li [verfasserIn] Yao Yu [verfasserIn] Yu Zhou [verfasserIn] Huanghao Xu [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2013 |
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Übergeordnetes Werk: |
In: Sensors - MDPI AG, 2003, 13(2013), 9, Seite 11362-11384 |
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Übergeordnetes Werk: |
volume:13 ; year:2013 ; number:9 ; pages:11362-11384 |
Links: |
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DOI / URN: |
10.3390/s130911362 |
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Katalog-ID: |
DOAJ014378108 |
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10.3390/s130911362 doi (DE-627)DOAJ014378108 (DE-599)DOAJ082b4eac727c48fab5c0afef2b1a62ec DE-627 ger DE-627 rakwb eng TP1-1185 Sidan Du verfasserin aut Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. human body measurement motion capture human body modeling Microsoft Kinect Chemical technology Yang Li verfasserin aut Yao Yu verfasserin aut Yu Zhou verfasserin aut Huanghao Xu verfasserin aut In Sensors MDPI AG, 2003 13(2013), 9, Seite 11362-11384 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:13 year:2013 number:9 pages:11362-11384 https://doi.org/10.3390/s130911362 kostenfrei https://doaj.org/article/082b4eac727c48fab5c0afef2b1a62ec kostenfrei http://www.mdpi.com/1424-8220/13/9/11362 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 9 11362-11384 |
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10.3390/s130911362 doi (DE-627)DOAJ014378108 (DE-599)DOAJ082b4eac727c48fab5c0afef2b1a62ec DE-627 ger DE-627 rakwb eng TP1-1185 Sidan Du verfasserin aut Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. human body measurement motion capture human body modeling Microsoft Kinect Chemical technology Yang Li verfasserin aut Yao Yu verfasserin aut Yu Zhou verfasserin aut Huanghao Xu verfasserin aut In Sensors MDPI AG, 2003 13(2013), 9, Seite 11362-11384 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:13 year:2013 number:9 pages:11362-11384 https://doi.org/10.3390/s130911362 kostenfrei https://doaj.org/article/082b4eac727c48fab5c0afef2b1a62ec kostenfrei http://www.mdpi.com/1424-8220/13/9/11362 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 9 11362-11384 |
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10.3390/s130911362 doi (DE-627)DOAJ014378108 (DE-599)DOAJ082b4eac727c48fab5c0afef2b1a62ec DE-627 ger DE-627 rakwb eng TP1-1185 Sidan Du verfasserin aut Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. human body measurement motion capture human body modeling Microsoft Kinect Chemical technology Yang Li verfasserin aut Yao Yu verfasserin aut Yu Zhou verfasserin aut Huanghao Xu verfasserin aut In Sensors MDPI AG, 2003 13(2013), 9, Seite 11362-11384 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:13 year:2013 number:9 pages:11362-11384 https://doi.org/10.3390/s130911362 kostenfrei https://doaj.org/article/082b4eac727c48fab5c0afef2b1a62ec kostenfrei http://www.mdpi.com/1424-8220/13/9/11362 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 9 11362-11384 |
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10.3390/s130911362 doi (DE-627)DOAJ014378108 (DE-599)DOAJ082b4eac727c48fab5c0afef2b1a62ec DE-627 ger DE-627 rakwb eng TP1-1185 Sidan Du verfasserin aut Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. human body measurement motion capture human body modeling Microsoft Kinect Chemical technology Yang Li verfasserin aut Yao Yu verfasserin aut Yu Zhou verfasserin aut Huanghao Xu verfasserin aut In Sensors MDPI AG, 2003 13(2013), 9, Seite 11362-11384 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:13 year:2013 number:9 pages:11362-11384 https://doi.org/10.3390/s130911362 kostenfrei https://doaj.org/article/082b4eac727c48fab5c0afef2b1a62ec kostenfrei http://www.mdpi.com/1424-8220/13/9/11362 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 9 11362-11384 |
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Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor |
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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. |
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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. |
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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. |
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