Name
Abstract | ||
|---|---|---|
Using an optical passive motion capture system, researchers encounter problems involving marker occlusion. A marker can be covered during motion. This loss of information may cause various problems. For example, the output values of a biomechanical model (such as forces, moments etc.) cannot be computed or are incomplete in recording fragments in which markers are occluded. This paper presents a new, universal gap-filling algorithm for gaps in the trajectories of markers that belong to object segments which may be modelled (by approximation) as rigid bodies. It can fill in gaps in the trajectory of a marker which can be located at the beginning, at the end or in the middle of a recording. In order to assess the algorithm a series of automatic tests were conducted. A set of gapless files with real motion capture data post-processed by an expert was prepared. Then gaps of varying properties were artificially created in the test files. The gaps were filled using the proposed solution. The obtained results were compared to the original files prepared by the expert. The test dataset contains files with three types of movements representing different motion dynamics. The quality of the presented method was assessed for three body segments (head, torso and pelvic) and for three relative generated gap lengths (10%, 20% and 30%). 840 tests with artificially created missing markers were performed. Errors were highest for the torso segment and lowest for the head segment. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/HSI.2016.7529654 | 2016 9th International Conference on Human System Interactions (HSI) |
Keywords | Field | DocType |
rigid body,gap-filling algorithm,motion capture | Torso,Computer vision,Motion capture,Computer science,Algorithm,Rigid body,Artificial intelligence,Biomechanical model,Motion dynamics,Gapless playback,Trajectory,Passive motion | Conference |
ISSN | ISBN | Citations |
2158-2246 | 978-1-5090-1730-0 | 0 |
PageRank | References | Authors |
0.34 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jakub Smolka | 1 | 3 | 4.67 |
| Edyta Lukasik | 2 | 5 | 3.67 |