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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| Superior document: | Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung |
|---|---|
| : | |
| Year of Publication: | 2014 |
| Language: | English |
| Series: | Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung
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| Physical Description: | 1 electronic resource (XVIII, 264 p. p.) |
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| 100 | 1 | |a Brauer, Jürgen |4 auth | |
| 245 | 1 | 0 | |a Human Pose Estimation with Implicit Shape Models |
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| 490 | 1 | |a Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung | |
| 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. | ||
| 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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