Name
Abstract | ||
|---|---|---|
Video Stabilization is one of those important video processing techniques to remove the unwanted camera vibration in a video sequence. In this paper, we present a practical method to remove the annoying shaky motion and reconstruct a stabilized video sequence with good visual quality. Here, the scale invariant(SIFT) features, proved to be invariant to image scale and rotation, is applied to estimate the camera motion. The unwanted vibrations are separated from the intentional camera motion with the combination of Gaussian kernel filtering and parabolic fitting. It is demonstrated that our method effectively removes the high frequency "noise' motion, but also minimize the missing area as much as possible. To reconstruct the undefined areas, resulting from motion compensation, we adopt the mosaicing method with Dynamic Programming . The proposed method has been confirmed to be effective over a widely variety of videos. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/IV.2007.119 | IV |
Keywords | Field | DocType |
unwanted camera vibration,important video processing technique,practical method,scale-invariant features,intentional camera motion,motion compensation,video stabilization,mosaicing method,camera motion,annoying shaky motion,video sequence,layout,high frequency,motion estimation,scale invariance,gaussian kernel,gaussian processes,image reconstruction,hardware,dynamic programming,video processing | Computer vision,Block-matching algorithm,Video processing,Quarter-pixel motion,Motion field,Computer science,Image stabilization,Motion compensation,Video tracking,Artificial intelligence,Motion estimation | Conference |
ISSN | ISBN | Citations |
1550-6037 | 0-7695-2900-3 | 34 |
PageRank | References | Authors |
1.34 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rong Hu | 1 | 34 | 1.34 |
| Rongjie Shi | 2 | 45 | 2.69 |
| I-Fan Shen | 3 | 173 | 12.32 |
| Wenbin Chen | 4 | 117 | 9.17 |