Name
Abstract | ||
|---|---|---|
In this paper, we present an algorithm for the tracking of multiple objects in space-variant vision. Typically, an object-tracking algorithm consists of several processes such as detection, prediction, matching, and updating. In particular, the matching process plays an important role in multiple objects tracking. In traditional vision, the matching process is simple when the target objects are rigid. In space-variant vision, however, it is very complicated although the target is rigid, because there may be deformation of an object region in the space-variant coordinate system when the target moves to another position. Therefore, we propose a deformation formula in order to solve the matching problem in space-variant vision. By solving this problem, we can efficiently implement multiple objects tracking in space-variant vision. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/3-540-45482-9_57 | Biologically Motivated Computer Vision |
Keywords | Field | DocType |
object-tracking algorithm,multiple object tracking,important role,target move,traditional vision,deformation formula,target object,matching process,space-variant vision,matching problem,multiple object,multiresolution image sequences,object tracking,coordinate system | Coordinate system,Computer vision,Computer science,Image representation,Multiresolution analysis,Image segmentation,Video tracking,Artificial intelligence | Conference |
Volume | ISSN | ISBN |
1811 | 0302-9743 | 3-540-67560-4 |
Citations | PageRank | References |
2 | 0.39 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seonghoon Kang | 1 | 42 | 7.71 |
| Seong-Whan Lee | 2 | 3756 | 343.90 |