Name
Abstract | ||
|---|---|---|
This paper proposed a novel scheme for combined contour extraction and deformable object tracking. In order to track fast moving objects, we first add the motion estimation term to the energy function of the conventional snake. Then, a hierarchical approach using wavelet analysis is applied. Although the proposed wavelet-based method can track objects with large motion, the proposed method requires less computational load than the conventional one. By using a training procedure, the proposed method overcomes occlusion problems and local minima due to strong edges in the background. The proposed algorithm has been tested for various images including a sequence of human motion to demonstrate the improved performance of object tracking. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11556121_99 | CAIP |
Keywords | Field | DocType |
deformable object tracking,human motion,object tracking,motion estimation term,large motion,motion-based hierarchical active contour,proposed wavelet-based method,conventional snake,proposed algorithm,combined contour extraction,active contour model,local minima,wavelet analysis,motion estimation | Active contour model,Computer vision,Pattern recognition,Edge detection,Computer science,Image processing,Maxima and minima,Image segmentation,Video tracking,Artificial intelligence,Motion estimation,Wavelet | Conference |
Volume | ISSN | ISBN |
3691 | 0302-9743 | 3-540-28969-0 |
Citations | PageRank | References |
1 | 0.36 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeongho Shin | 1 | 124 | 17.26 |
| Hyunjong Ki | 2 | 1 | 1.72 |
| Joonki Paik | 3 | 611 | 71.87 |