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Human Pose Estimation with Implicit Shape Models

This 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 Part...

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Autore principale: Brauer, Jürgen (auth)
Natura: Elettronico Capitolo di libro
Lingua:inglese
Pubblicazione: KIT Scientific Publishing 2014
Serie:Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung
Soggetti:
Computer vision
Bildverarbeitung
Human pose estimation
action recognition
AktionserkennungScene understanding
Szenenverstehen
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Riassunto:This 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.
Descrizione fisica:1 electronic resource (XVIII, 264 p. p.)
ISBN:KSP/1000039083
9783731501848
Accesso:Open Access

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