Kahn, Svenja ; Malerczyk, Cornelius ; Graf, Holger ; Bockholt, Ulrich (2011)
Capturing Motion Skills with Silhouette-Based Numerical Pose Estimation.
In: BIO Web of Conferences, 1
doi: 10.1051/bioconf/20110100046
Article, Bibliographie
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 ; Malerczyk, Cornelius ; Graf, Holger ; Bockholt, Ulrich |
Type of entry: | Bibliographie |
Title: | Capturing Motion Skills with Silhouette-Based Numerical Pose Estimation |
Language: | English |
Date: | 2011 |
Journal or Publication Title: | BIO Web of Conferences |
Volume of the journal: | 1 |
DOI: | 10.1051/bioconf/20110100046 |
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. |
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 |
Last Modified: | 12 Nov 2018 11:16 |
PPN: | |
Export: | |
Suche nach Titel in: | TUfind oder in Google |
Send an inquiry |
Options (only for editors)
Show editorial Details |