Zobrazeno 1 - 10
of 67
pro vyhledávání: '"human body segmentation"'
Autor:
Riu Cherdchusakulchai, Sucharn Thoumrungroje, Thanyaporn Tungpanjasil, Alongkorn Pimpin, Werayut Srituravanich, Nattapol Damrongplasit
Publikováno v:
IEEE Access, Vol 12, Pp 84363-84373 (2024)
Accurate anthropometric measurements are critical in the healthcare industry for effective diagnosis and patient monitoring. Standardized procedures for measuring human body dimensions are required to ensure accuracy, reliability, and consistency acr
Externí odkaz:
https://doaj.org/article/0f0165d4f8cb45b2aac44ab3427d0c7f
Publikováno v:
IEEE Access, Vol 7, Pp 157841-157858 (2019)
Activity recognition (AR) methods require the ability to identify activities of crucial parts in a human body. Body segmentation techniques employed in video-based AR methods outlines significance of areas (parts) in a human body image that are essen
Externí odkaz:
https://doaj.org/article/b9c9723ae204431c8dd68c5d99038440
Publikováno v:
Sensors, Vol 22, Iss 9, p 3531 (2022)
The identification of human activities from videos is important for many applications. For such a task, three-dimensional (3D) depth images or image sequences (videos) can be used, which represent the positioning information of the objects in a 3D sc
Externí odkaz:
https://doaj.org/article/f592979cf189438295c20a01ec314281
Akademický článek
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Akademický článek
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Publikováno v:
Sensors, Vol 22, Iss 3, p 925 (2022)
Three-dimensional (3D) shape estimation of the human body has a growing number of applications in medicine, anthropometry, special effects, and many other fields. Therefore, the demand for the high-quality acquisition of a complete and accurate body
Externí odkaz:
https://doaj.org/article/cf82b1330b6448cca0002e94eede36de
Publikováno v:
Sensors, Vol 19, Iss 2, p 393 (2019)
Segmentation of human bodies in images is useful for a variety of applications, including background substitution, human activity recognition, security, and video surveillance applications. However, human body segmentation has been a challenging prob
Externí odkaz:
https://doaj.org/article/e6fe43564c0e4e5a8e7f210a4c1838c6
Publikováno v:
Sensors; Volume 22; Issue 9; Pages: 3531
The identification of human activities from videos is important for many applications. For such a task, three-dimensional (3D) depth images or image sequences (videos) can be used, which represent the positioning information of the objects in a 3D sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75260f3f382f1b7e97fe189cfcfbce78
Publikováno v:
Sensors, Vol 22, Iss 925, p 925 (2022)
Sensors; Volume 22; Issue 3; Pages: 925
Sensors; Volume 22; Issue 3; Pages: 925
Three-dimensional (3D) shape estimation of the human body has a growing number of applications in medicine, anthropometry, special effects, and many other fields. Therefore, the demand for the high-quality acquisition of a complete and accurate body
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ce86583ccf7ceab9214aec5a472b015
https://pubmed.ncbi.nlm.nih.gov/35161670
https://pubmed.ncbi.nlm.nih.gov/35161670
Publikováno v:
IEEE Access, Vol 7, Pp 157841-157858 (2019)
Activity recognition (AR) methods require the ability to identify activities of crucial parts in a human body. Body segmentation techniques employed in video-based AR methods outlines significance of areas (parts) in a human body image that are essen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::924884902c28846f55671cefd964e3f0
https://ieeexplore.ieee.org/document/8886356/
https://ieeexplore.ieee.org/document/8886356/