Name
Title | ||
|---|---|---|
Face tracking using a region-based mean-shift algorithm with adaptive object and background models |
Abstract | ||
|---|---|---|
This paper proposes a technique for face tracking based on the mean shift algorithm and the segmentation of the images into regions homogeneous in color. Object and background are explicitly modeled and updated through the tracking process. Color and shape information are used to define with precision the face contours, providing a mechanism to adapt the tracker to variations in object scale and to illumination and background changes. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/WIAMIS.2009.5031419 | WIAMIS |
Keywords | Field | DocType |
region-based mean-shift algorithm,face recognition,shape information,background color model,image segmentation,face contour,edge detection,object detection,adaptive object model,face tracking,image colour analysis,indexing,application software,lighting,face,robustness,histograms,mean shift,computational modeling,face detection,pixel,kernel,shape | Computer vision,Object detection,Facial recognition system,Pattern recognition,Computer science,Segmentation,Edge detection,Image segmentation,Pixel,Artificial intelligence,Mean-shift,Facial motion capture | Conference |
ISBN | Citations | PageRank |
978-1-4244-3610-1 | 1 | 0.36 |
References | Authors | |
7 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Veronica Vilaplana | 1 | 133 | 18.07 |
| David Varas | 2 | 15 | 4.60 |