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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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Hovedforfatter: Brauer, Jürgen
Format: Online
Sprog:engelsk
Udgivet: KIT Scientific Publishing 2021
Fag:
QA75.5-76.95
Computer vision
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Human pose estimation
action recognition
AktionserkennungScene understanding
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bic Book Industry Communication::U Computing & information technology::UY Computer science
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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.

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