Name
Abstract | ||
|---|---|---|
We propose a user pose verification technique using depth information to compare their pose with expert riders. Xtion sensor by Asus is used for gathering a depth data in real world. The user pose verification algorithm is divided into two categories: user segmentation and user pose verification. In user segmentation step, body parts are segmented based on the region growing algorithm from a head point (i.e. seed point). Then, a simple algorithm is used to generate skeletal joints in the segmented body parts. Finally, the user pose is investigated by the standard pose of experts in the same situation. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ROMAN.2013.6628473 | RO-MAN |
Keywords | Field | DocType |
user segmentation,user interfaces,asus,image segmentation,pose estimation,skeletal joints,real-time user pose verification,xtion sensor | Computer vision,Region growing algorithm,Segmentation,Computer science,Simulation,3D pose estimation,Pose,Image segmentation,Artificial intelligence,Articulated body pose estimation,SIMPLE algorithm,User interface | Conference |
ISSN | Citations | PageRank |
1944-9445 | 0 | 0.34 |
References | Authors | |
4 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongjin Lee | 1 | 1 | 3.07 |
| Kye Kyung Kim | 2 | 78 | 7.74 |
| Chankyu Park | 3 | 18 | 6.00 |
| Ho-Sub Yoon | 4 | 0 | 0.68 |
| Jaehong Kim | 5 | 383 | 41.59 |
| Cheong Hee Park | 6 | 223 | 22.78 |