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DC poleHodnotaJazyk
dc.contributor.authorHwang, Sangchul
dc.contributor.authorChoi, Young
dc.contributor.editorSkala, Václav
dc.date.accessioned2017-11-08T10:08:27Z
dc.date.available2017-11-08T10:08:27Z
dc.date.issued2014
dc.identifier.citationWSCG 2014: communication papers proceedings: 22nd International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 271-276.en
dc.identifier.isbn978-80-86943-71-8
dc.identifier.uriwscg.zcu.cz/WSCG2014/!!_2014-WSCG-Communication.pdf
dc.identifier.urihttp://hdl.handle.net/11025/26423
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG 2014: communication papers proceedingsen
dc.rights@ Václav Skala - UNION Agencycs
dc.subjectkinematické modelovánícs
dc.subjectzachycení pohybu bez markercs
dc.subjectrizikocs
dc.subject3D rekonstrukcecs
dc.subject3D modelovánícs
dc.subjectinverzní kinematikacs
dc.titlePose estimation of small-articulated animals using multiple view imagesen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe study of robots that mimic the behavior of small animals such as lizards and arthropods has been actively carried out. However, systematic analysis of the gait behavior of small animals is not prevalent in the literature. Motion analysis of most living creatures is conducted using the optical motion capture system. However, it is inapplicable to small animals owing to the difficulty of attaching optical markers. To solve this problem, markerless motion capture is being researched; however, many of these studies were performed on human subjects. Therefore, to apply a markerless motion capture system for insects that have many legs and a high degree of freedom, additional research is required. The objective of this study is to develop a system to estimate the continuous pose of small-articulated animals using a three-dimensional skeleton model of the animal from a multi-view video sequence. It includes the extraction of the extremity and root of each leg and the calculation of joint kinematics using the forward and backward reaching inverse kinematics (FABRIK) algorithm that uses the extracted extremity and root. The method developed in this study will contribute to better understand the gait behavior of small-articulated animals.en
dc.subject.translatedkinematic modelingen
dc.subject.translatedmarkerless motion captureen
dc.subject.translatedestimationen
dc.subject.translated3D reconstructionen
dc.subject.translated3D modelingen
dc.subject.translatedinverse kinematicsen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2014: Communication Papers Proceedings

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