Name
Abstract | ||
|---|---|---|
The main goal of this paper is the design of a novel and robust methodology for calibrating cameras from a single image in sport scenarios, such as a soccer field, or a basketball or tennis court. In these sport scenarios, the only references we use to calibrate the camera are the lines and circles delimiting the different regions. The first problem we address is the extraction of image primitives, including the challenging problems of shaded regions and lens distortion. From these primitives, we automatically recognise the location of the sport court in the scene by estimating the homography which matches the actual court with its projection onto the image. This is achieved even when only a few primitives are available. Finally, from this homography, we recover the camera calibration parameters. In particular, we estimate the focal length as well as the position and orientation in the 3D space. We present some experiments on models and real courts which illustrate the accuracy of the proposed methodology. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.patcog.2013.05.011 | Pattern Recognition |
Keywords | Field | DocType |
sport event scenario,proposed methodology,camera calibration parameter,calibrating camera,actual court,sport court,sport scenario,tennis court,real court,single image,image primitive,camera calibration | Distortion (optics),Computer vision,Computer graphics (images),Focal length,Camera resectioning,Homography,Artificial intelligence,Mathematics,Calibration | Journal |
Volume | Issue | ISSN |
47 | 1 | 0031-3203 |
Citations | PageRank | References |
5 | 0.43 | 27 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Alemán-Flores | 1 | 5 | 0.43 |
| L. Alvarez | 2 | 285 | 39.37 |
| Luis Gomez | 3 | 37 | 6.88 |
| P. Henriquez | 4 | 5 | 0.43 |
| L. Mazorra | 5 | 38 | 6.69 |