Name
Abstract | ||
|---|---|---|
We propose a novel method for real-time camera motion tracking in planar view scenarios. This method relies on the geometry of a tripod, an initial estimation of camera pose for the first video frame and a primitive tracking procedure. This process uses lines and circles as primitives, which are extracted applying classification and regression tree. We have applied the proposed method to high-definition videos of soccer matches. Experimental results prove that our proposal can be applied to processing high-definition video in real time. We validate the procedure by inserting virtual content in the video sequence. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s11554-013-0360-3 | Journal of Real-time Image Processing |
Keywords | Field | DocType |
Camera motion tracking, Camera calibration, Tripod, Primitives tracking, CART | Computer vision,Decision tree,Computer science,Camera auto-calibration,Smart camera,Tracking system,Video tracking,Camera resectioning,Artificial intelligence,Tripod (photography),Match moving | Journal |
Volume | Issue | ISSN |
11 | 2 | 1861-8219 |
Citations | PageRank | References |
1 | 0.35 | 26 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. Alvarez | 1 | 285 | 39.37 |
| Luis Gomez | 2 | 37 | 6.88 |
| Pedro Henríquez | 3 | 21 | 2.74 |
| Javier Sánchez | 4 | 383 | 31.84 |