Name
Abstract | ||
|---|---|---|
We present in this paper a GPU-accelerated par- ticle filter based on pixel-level segmentation and matching, for real-time object tracking. The pro- posed method achieves real-time perfomance, while computing for each particle the corresponding filled model silhouette through the rendering engine of the graphics card, and comparing it with the un- derlying binary map of the segmentation prepro- cess. With the proposed approach, a better precision and generality is obtained with respect to related feature-level likelihoods such as color histograms, while keeping low computational requirements. |
Year | Venue | Keywords |
|---|---|---|
2008 | VMV | object tracking,color histogram,real time,particle filter |
Field | DocType | Citations |
Graphics,Computer vision,Histogram,Computer graphics (images),Silhouette,Segmentation,Computer science,Particle filter,Video tracking,Pixel,Artificial intelligence,Rendering (computer graphics) | Conference | 8 |
PageRank | References | Authors |
0.62 | 16 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Claus Lenz | 1 | 76 | 7.53 |
| Giorgio Panin | 2 | 119 | 14.18 |
| Alois Knoll Knoll | 3 | 1700 | 271.32 |