Name
Abstract | ||
|---|---|---|
We present a method to estimate the relative depth between objects in scenes of video sequences. The information for the estimation of the relative depth is obtained from the overlapping produced between objects when there is relative motion as well as from motion coherence between neighbouring regions. A relaxation labelling algorithm is used to solve conflicts and assign every region to a depth level. The depth estimation is used in a segmentation scheme which uses grey level information to produce a first segmentation. Regions of this partition are merged on the basis of their depth level |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/ICIP.1998.723559 | Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference |
Keywords | Field | DocType |
image segmentation,image sequences,motion estimation,video signal processing,depth information,grey level information,image regions merging,inter-frame operation,intra-frame operation,motion coherence,motion estimation,motion information,neighbouring regions,overlapping objects,relative depth estimation,relative motion,relaxation labelling algorithm,video object segmentation,video sequences | Computer vision,Block-matching algorithm,Quarter-pixel motion,Scale-space segmentation,Pattern recognition,Range segmentation,Computer science,Motion compensation,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Motion estimation | Conference |
Volume | ISBN | Citations |
2 | 0-8186-8821-1 | 3 |
PageRank | References | Authors |
0.54 | 3 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Montse Pardàs | 1 | 343 | 35.03 |