Name
Title | ||
|---|---|---|
Fusing Multiple Independent Estimates via Spectral Clustering for Robust Visual Tracking |
Abstract | ||
|---|---|---|
One fundamental problem of object tracking is the convergence of estimates to local maxima not corresponding to target objects. To mitigate this problem, constructing a good posterior distribution of the target state is important. In this letter, we propose a robust tracking approach by building a new posterior distribution model from multiple independent estimates of a target state. For each candidate of the target state, we compute a confidence score based on its spatial consistency with other estimates and photometric similarities with target models. Our posterior distribution model reflects tracking uncertainties well and adaptively defines the search region for the next frame. We validate the robustness of our approach on a number of challenging datasets. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/LSP.2012.2205916 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
statistical distributions,confidence score,object detection,pattern clustering,robust visual tracking approach,posterior distribution model,spatial consistency,target models,local maxima estimation,photometric similarities,search region,object tracking,spectral clustering,multiple independent estimate fusion | Object detection,Spectral clustering,Pattern recognition,Maxima and minima,Robustness (computer science),Posterior probability,Probability distribution,Video tracking,Eye tracking,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
19 | 8 | 1070-9908 |
Citations | PageRank | References |
1 | 0.36 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jungho Kim | 1 | 22 | 3.65 |
| Jihong Min | 2 | 19 | 3.73 |
| In So Kweon | 3 | 2795 | 207.62 |
| Zhe Lin | 4 | 3100 | 134.26 |