Name
Abstract | ||
|---|---|---|
This paper presents a new bilayer video segmentation algorithm focusing on videoconferencing application. A face tracking algorithm is used to guide a generic O-shaped template of the head and shoulders. A region of interest (ROI) is created around the generic template, and an energy function based on edge, color and motion cues is used to define the boundary between the person and the background. Our experimental results indicate that the silhouettes can be effectively extracted in common videoconferencing scenarios. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICME.2011.6011871 | ICME |
Keywords | Field | DocType |
new bilayer video segmentation,common videoconferencing scenario,face tracking algorithm,generic o-shaped template,generic template,bilayer video segmentation,videoconferencing application,motion cue,teleconferencing,face tracking,edge coloring,color,region of interest,face,dynamic programming | Dynamic programming,Motion cues,Computer vision,Teleconference,Pattern recognition,Computer science,Segmentation,Artificial intelligence,Region of interest,Videoconferencing,Bilayer,Facial motion capture | Conference |
ISSN | ISBN | Citations |
1945-7871 | 978-1-61284-349-0 | 4 |
PageRank | References | Authors |
0.46 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessandro Parolin | 1 | 11 | 0.96 |
| Guilherme P. Fickel | 2 | 9 | 2.26 |
| Claudio R. Jung | 3 | 29 | 2.70 |
| Tom Malzbender | 4 | 409 | 39.12 |
| Ramin Samadani | 5 | 113 | 10.90 |