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:
Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Human Pose Estimation with Implicit Shape Models 
260 |b KIT Scientific Publishing  |c 2014 
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520 |a 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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-sa/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by-sa/4.0/ 
546 |a English 
653 |a Computer vision 
653 |a Bildverarbeitung 
653 |a Human pose estimation 
653 |a action recognition 
653 |a AktionserkennungScene understanding 
653 |a Szenenverstehen 
653 |a Menschliche Posenschätzung 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/49634  |7 0  |z DOAB: description of the publication