Capturing Motion Skills with Silhouette-Based Numerical Pose Estimation

Svenja Kahn, Cornelius Malerczyk, Holger Graf, Ulrich Bockholt
2011 BIO Web of Conferences  
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
more » ... ilhouettes 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.
doi:10.1051/bioconf/20110100046 fatcat:nen6so7fefanlllxlhlz72qaem