Name
Abstract | ||
|---|---|---|
A key problem in level set tracking is to construct a discriminative speed function for effective contour evolution. In this paper, we propose a level set tracking method based on a discriminative speed function, which produces a superpixel-driven force for effective level set evolution. Based on kernel density estimation and metric learning, the speed function is capable of effectively encoding t... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TCYB.2015.2451100 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Shape,Level set,Measurement,Force,Adaptation models,Robustness,Dictionaries | Level set,Robustness (computer science),Artificial intelligence,Discriminative model,Kernel density estimation,Computer vision,Pattern recognition,Matrix decomposition,Video tracking,Metric space,Machine learning,Mathematics,Encoding (memory) | Journal |
Volume | Issue | ISSN |
46 | 7 | 2168-2267 |
Citations | PageRank | References |
5 | 0.42 | 39 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xue Zhou | 1 | 194 | 11.81 |
| Xi Li | 2 | 1850 | 137.71 |
| Weiming Hu | 3 | 5300 | 261.38 |