Abstract
Most motion tracking algorithms rely on an initial skeleton model that has already been fitted to a special posture setup. However, such a first identification of markers often requires multiple manual actions of a designer. To automate this process, a novel approach for adapting a basic skeleton model to empirical motion capture data is presented. The approach is based on the anthropometric dimensions of a subject and subsequent tree-based skeleton fitting. It generates a tree representation of different possible skeleton configurations. The tree is annotated with costs based on discrepancies between markers and anatomic landmarks. A computation of the least cost path through the tree automatically results in an optimal fitting of the observed markers to the given anthropometric data of the subject.
Original language | English (US) |
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Title of host publication | SAE Technical Papers |
DOIs | |
State | Published - 2008 |
Externally published | Yes |
Event | Digital Human Modeling for Design and Engineering Conference and Exhibition - Pittsburgh, PA, United States Duration: Jun 17 2008 → Jun 19 2008 |
Other
Other | Digital Human Modeling for Design and Engineering Conference and Exhibition |
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Country/Territory | United States |
City | Pittsburgh, PA |
Period | 6/17/08 → 6/19/08 |
ASJC Scopus subject areas
- Automotive Engineering
- Safety, Risk, Reliability and Quality
- Pollution
- Industrial and Manufacturing Engineering