Name
Abstract | ||
|---|---|---|
This paper introduces a ribbon-based motion analysis approach to describe human body movements. Here, we assume that there are no markers on human body. We develop a system to extract the moving ribbons (extremities) by processing the difference between current image frame and reference image frame. By analyzing the moving ribbons on the key frames, we may produce the motion parameter curves for each joint on the ribbon. These curves may not be continuous due to ribbon-torso occlusion, and both the interpolation and extrapolation processes can be used to predict the missing parts |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/ICPR.1996.546985 | ICPR |
Keywords | Field | DocType |
interpolation,parameter estimation,body part recognition,extrapolation,motion estimation,ribbon-based motion analysis,image frame,image sequences,computer vision,human body movements,motion parameter curves,tracking,information analysis,human body,head,image recognition | Ribbon,Computer vision,Pattern recognition,Computer science,Image frame,Interpolation,Motion parameter,Extrapolation,Artificial intelligence,Motion analysis,Motion estimation,Estimation theory | Conference |
Volume | ISSN | ISBN |
3 | 1051-4651 | 0-8186-7282-X |
Citations | PageRank | References |
6 | 2.63 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| I-C. Chang | 1 | 6 | 2.63 |
| Chung-Lin Huang | 2 | 139 | 13.24 |