Name
Abstract | ||
|---|---|---|
In this paper, we propose a superpixel-driven method for level set tracking. In particular, by taking a superpixel-based speed function, the level set evolution is accelerated greatly. We define a mutual information based speed function using a superpixel-unit as the underlying representation, which captures the correlation of a superpixel with object/background. In order to enhance the robustness of our method, a shape prior is incorporated to constrain the contour evolution. Experimental results on a number of challenging sequences demonstrate the effectiveness and robustness of our method. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICIP.2012.6466882 | ICIP |
Keywords | Field | DocType |
underlying representation,level set,superpixel-driven level set tracking,image representation,superpixel,superpixel-based speed function,superpixel-driven method,superpixel-unit,level set evolution,set theory,tracking,object tracking,contour evolution,image sequences,shape prior,mutual information | Set theory,Computer vision,Pattern recognition,Computer science,Image representation,Level set,Robustness (computer science),Video tracking,Correlation,Artificial intelligence,Mutual information,Underlying representation | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4673-2532-5 | 978-1-4673-2532-5 | 4 |
PageRank | References | Authors |
0.41 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xue Zhou | 1 | 194 | 11.81 |
| Xi Li | 2 | 1850 | 137.71 |
| Tat-Jun Chin | 3 | 721 | 46.83 |
| David Suter | 4 | 33 | 3.66 |