Name
Title | ||
|---|---|---|
Background robust face tracking using active contour technique combined active appearance model |
Abstract | ||
|---|---|---|
This paper proposes a two stage AAM fitting algorithm that is robust to the cluttered background and a large motion. The proposed AAM fitting algorithm consists of two alternative procedures: the active contour fitting to find the contour sample that best fits the face image and then the active appearance model fitting over the best selected contour. Experimental results show that the proposed active contour based AAM provides better accuracy and convergence characteristics in terms of RMS error and convergence rate, respectively, than the existing robust AAM. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11608288_22 | ICB |
Keywords | Field | DocType |
convergence characteristic,active contour fitting,active contour technique,stage aam,contour sample,proposed active contour,existing robust aam,fitting algorithm,background robust face tracking,active appearance model fitting,selected contour,proposed aam fitting algorithm,convergence rate,face tracking,active appearance model,active contour | Active contour model,Computer vision,Active vision,Pattern recognition,Edge detection,Computer science,Active appearance model,Image segmentation,Artificial intelligence,Rate of convergence,Robust control,Facial motion capture | Conference |
Volume | ISSN | ISBN |
3832 | 0302-9743 | 3-540-31111-4 |
Citations | PageRank | References |
2 | 0.41 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jaewon Sung | 1 | 152 | 9.57 |
| Daijin Kim | 2 | 1882 | 126.85 |