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Capturing Motion Skills with Silhouette-Based Numerical Pose Estimation

Kahn, Svenja and Malerczyk, Cornelius and Graf, Holger and Bockholt, Ulrich (2011):
Capturing Motion Skills with Silhouette-Based Numerical Pose Estimation.
In: BIO Web of Conferences, p. 4, 1, DOI: 10.1051/bioconf/20110100046, [Article]

Abstract

The capturing of human movements is an important step for the analysis of human skills, e.g. for sports analysis or for learning-by-demonstration tasks. In this paper we introduce a new markerless pose estimation method which estimates human poses from silhouettes. The presented numerical pose estimation algorithm adapts a non-deterministical annealing schedule for silhouette based motion capturing. The pose is estimated by numerically minimizing the differences between the silhouettes of synthesized views of a 3D avatar and the silhouettes of the real person in the camera images. The evaluation results of simulation experiments quantify the trade-off between the accuracy and the execution time of the presented algorithm.

Item Type: Article
Erschienen: 2011
Creators: Kahn, Svenja and Malerczyk, Cornelius and Graf, Holger and Bockholt, Ulrich
Title: Capturing Motion Skills with Silhouette-Based Numerical Pose Estimation
Language: English
Abstract:

The capturing of human movements is an important step for the analysis of human skills, e.g. for sports analysis or for learning-by-demonstration tasks. In this paper we introduce a new markerless pose estimation method which estimates human poses from silhouettes. The presented numerical pose estimation algorithm adapts a non-deterministical annealing schedule for silhouette based motion capturing. The pose is estimated by numerically minimizing the differences between the silhouettes of synthesized views of a 3D avatar and the silhouettes of the real person in the camera images. The evaluation results of simulation experiments quantify the trade-off between the accuracy and the execution time of the presented algorithm.

Journal or Publication Title: BIO Web of Conferences
Volume: 1
Uncontrolled Keywords: Business Field: Digital society, Research Area: Confluence of graphics and vision, Pose estimation, Motion capturing, Optimization
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1051/bioconf/20110100046
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