Name
Abstract | ||
|---|---|---|
In this letter, a fast digital image stabilization method based on local binary pattern (LBP) for real time applications is presented. The LBP approach utilized in this work enables efficient representation of the image frames in 1-bit depth resolution. A simple Boolean exclusive-OR (XOR) based matching criterion is employed to decide global motion vector between consecutive image frames. The constant velocity model based Kalman filtering is executed on the global motion vectors to obtain smoothed frame positions. Experiments show that the proposed approach provides comparable or better performance against the methods at the same category by requiring lower computational complexity. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LSP.2014.2359981 | Signal Processing Letters, IEEE |
Keywords | Field | DocType |
digital image stabilization,global motion estimation,local binary pattern,kalman filters,digital images,fluctuations,motion estimation,real time systems,computational complexity,vectors,mathematical model | Computer vision,Local binary patterns,Kalman filter,Digital image,Artificial intelligence,Motion estimation,Mathematics,Computational complexity theory,Motion vector | Journal |
Volume | Issue | ISSN |
22 | 3 | 1070-9908 |
Citations | PageRank | References |
6 | 0.52 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Burcu Kir | 1 | 6 | 0.52 |
| Meltem Kurt | 2 | 6 | 0.52 |
| Oguzhan Urhan | 3 | 36 | 9.86 |