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https://hdl.handle.net/1822/52140
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Campo DC | Valor | Idioma |
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dc.contributor.author | Afsar, Palwasha | por |
dc.contributor.author | Cortez, Paulo | por |
dc.contributor.author | Santos, Henrique | por |
dc.date.accessioned | 2018-03-12T15:34:18Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | In J. Ferrier et al. (Eds.), Proceedings of 12th International Conference on Computer Vision Theory and Applications (VISAPP 2017), pp. 384-389, volume 5, Porto, Portugal, February, 2017, SCITEPRESS, ISBN 978-989-758-226-4. | por |
dc.identifier.isbn | 978-989-758-226-4 | - |
dc.identifier.uri | https://hdl.handle.net/1822/52140 | - |
dc.description.abstract | The correct classification of human skeleton from video is a key issue for the recognition of human actions and behavior. In this paper, we present a computational system for a passive detection of human star skeleton from raw video. The overall system is based on two main modules: segmentation and star skeleton detection. For each module, several computer vision methods were adjusted and tested under a comparative analysis that used a challenging video dataset (e.g., different daylight and weather conditions). The obtained results show that our system is capable of detecting human skeletons in most situations. | por |
dc.description.sponsorship | This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013 and research grant FCT SFRH/BD/84939/2012. | por |
dc.language.iso | eng | por |
dc.publisher | SCITEPRESS – Science and Technology Publications | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147280/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F84939%2F2012/PT | por |
dc.rights | restrictedAccess | por |
dc.subject | Human action | por |
dc.subject | Action recognition | por |
dc.subject | Video data | por |
dc.subject | Skeleton detection | por |
dc.title | Human skeleton detection from semi-constrained environment video | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
oaire.citationStartPage | 384 | por |
oaire.citationEndPage | 389 | por |
oaire.citationConferencePlace | Porto, Portugal | por |
oaire.citationVolume | 5 | por |
dc.identifier.doi | 10.5220/0006245803840389 | por |
dc.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | por |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
dc.subject.wos | Science & Technology | por |
sdum.conferencePublication | Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) | por |
sdum.bookTitle | PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 5 | por |
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Ficheiro | Descrição | Tamanho | Formato | |
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2017-visapp.pdf Acesso restrito! | 1,21 MB | Adobe PDF | Ver/Abrir |