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Human Pose Estimation with Implicit Shape Models

dc.contributor.authorBrauer, Jürgen*
dc.date.accessioned2021-02-11T15:37:34Z
dc.date.available2021-02-11T15:37:34Z
dc.date.issued2014*
dc.date.submitted2019-07-30 20:01:58*
dc.identifier34560*
dc.identifier.issn18665934*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/49634
dc.description.abstractThis work presents a new approach for estimating 3D human poses based on monocular camera information only. For this, the Implicit Shape Model is augmented by new voting strategies that allow to localize 2D anatomical landmarks in the image. The actual 3D pose estimation is then formulated as a Particle Swarm Optimization (PSO) where projected 3D pose hypotheses are compared with the generated landmark vote distributions.*
dc.languageEnglish*
dc.relation.ispartofseriesSchriftenreihe Automatische Sichtprüfung und Bildverarbeitung*
dc.subjectQA75.5-76.95*
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer scienceen_US
dc.subject.otherComputer vision*
dc.subject.otherBildverarbeitung*
dc.subject.otherHuman pose estimation*
dc.subject.otheraction recognition*
dc.subject.otherAktionserkennungScene understanding*
dc.subject.otherSzenenverstehen*
dc.subject.otherMenschliche Posenschätzung*
dc.titleHuman Pose Estimation with Implicit Shape Models*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000039083*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731501848*
oapen.pagesXVIII, 264 p.*
oapen.volume6*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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