Name
Abstract | ||
|---|---|---|
•A robust algorithm for 2D visual tracking and 3D pose estimation is proposed.•We focus on partial occlusions that distort the region properties of an object.•Optimal pose of an object is estimated via particle filters in a decoupled manner.•The degree of trust between system’s predictions and measurements is controlled.•The resulting methodology improves tracking performance in clutter and occlusion. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.cviu.2013.04.002 | Computer Vision and Image Understanding |
Keywords | Field | DocType |
2D–3D pose estimation,Object tracking,Occlusion handling,Particle filters | Computer vision,Obstacle,Segmentation,Particle filter,3D pose estimation,Robustness (computer science),Pose,Video tracking,Artificial intelligence,Articulated body pose estimation,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
117 | 8 | 1077-3142 |
Citations | PageRank | References |
1 | 0.36 | 48 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jehoon Lee | 1 | 37 | 9.61 |
| Romeil Sandhu | 2 | 88 | 7.90 |
| Allen Tannenbaum | 3 | 3629 | 409.15 |