Human Pose Estimation with Implicit Shape Models

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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Bibliographic Details
Main Author: Brauer, Jürgen (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2014
Series:Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung
Subjects:
Computer vision
Bildverarbeitung
Human pose estimation
action recognition
AktionserkennungScene understanding
Szenenverstehen
Menschliche Posenschätzung
Online Access:DOAB: download the publication
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Summary: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.
Physical Description:1 electronic resource (XVIII, 264 p. p.)
ISBN:KSP/1000039083
9783731501848
Access:Open Access

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