Tracking-based 3D Human Skeleton Extraction from Stereo Video Camera toward an On-site Safety and Ergonomic Analysis
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Han, SangUk | - |
dc.contributor.author | Liu, Meiyin | - |
dc.contributor.author | Lee, SangHyun | - |
dc.date.accessioned | 2021-08-02T16:28:31Z | - |
dc.date.available | 2021-08-02T16:28:31Z | - |
dc.date.created | 2021-05-14 | - |
dc.date.issued | 2016-08 | - |
dc.identifier.issn | 1471-4175 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/22237 | - |
dc.description.abstract | Purpose - As a means of data acquisition for the situation awareness, computer vision-based motion capture technologies have increased the potential to observe and assess manual activities for the prevention of accidents and injuries in construction. This study thus aims to present a computationally efficient and robust method of human motion data capture for the on-site motion sensing and analysis. Design/methodology/approach - This study investigated a tracking approach to three-dimensional (3D) human skeleton extraction from stereo video streams. Instead of detecting body joints on each image, the proposed method tracks locations of the body joints over all the successive frames by learning from the initialized body posture. The corresponding body joints to the ones tracked are then identified and matched on the image sequences from the other lens and reconstructed in a 3D space through triangulation to build 3D skeleton models. For validation, a lab test is conducted to evaluate the accuracy and working ranges of the proposed method, respectively. Findings - Results of the test reveal that the tracking approach produces accurate outcomes at a distance, with nearly real-time computational processing, and can be potentially used for site data collection. Thus, the proposed approach has a potential for various field analyses for construction workers' safety and ergonomics. Originality/value - Recently, motion capture technologies have rapidly been developed and studied in construction. However, existing sensing technologies are not yet readily applicable to construction environments. This study explores two smartphones as stereo cameras as a potentially suitable means of data collection in construction for the less operational constrains (e.g. no on-body sensor required, less sensitivity to sunlight, and flexible ranges of operations). | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Arnold | - |
dc.title | Tracking-based 3D Human Skeleton Extraction from Stereo Video Camera toward an On-site Safety and Ergonomic Analysis | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Han, SangUk | - |
dc.identifier.doi | 10.1108/CI-10-2015-0054 | - |
dc.identifier.scopusid | 2-s2.0-84978250975 | - |
dc.identifier.bibliographicCitation | Construction Innovation, v.16, no.3, pp.348 - 367 | - |
dc.relation.isPartOf | Construction Innovation | - |
dc.citation.title | Construction Innovation | - |
dc.citation.volume | 16 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 348 | - |
dc.citation.endPage | 367 | - |
dc.type.rims | ART | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Construction & Building Technology | - |
dc.relation.journalWebOfScienceCategory | Construction & Building Technology | - |
dc.subject.keywordPlus | MOTION CAPTURE | - |
dc.subject.keywordPlus | RECOGNITION | - |
dc.subject.keywordPlus | EQUIPMENT | - |
dc.subject.keywordPlus | WORKERS | - |
dc.subject.keywordAuthor | Ergonomics | - |
dc.subject.keywordAuthor | Construction safety | - |
dc.subject.keywordAuthor | Stereo vision | - |
dc.subject.keywordAuthor | Computer vision | - |
dc.subject.keywordAuthor | 3D human skeleton extraction | - |
dc.subject.keywordAuthor | Motion tracking | - |
dc.identifier.url | http://www.emerald.com.ssl.access.hanyang.ac.kr/insight/content/doi/10.1108/CI-10-2015-0054/full/html#loginreload | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.