Name
Abstract | ||
|---|---|---|
Optical flow is an important problem in computer vision since applications of accurate optical flow estimation enable us to control and manipulate tracking, 3-D reconstruction, motion blurring, and dirt removal. Many powerful methods have been proposed to solve the optical flow problem; however, instabilities at the boundaries of moving objects are still challenges. A difficult part of the optical flow problem is how to accurately and quickly detect and readjust unstable regions at the boundaries. This paper aims to enhance optical flow estimation by detecting and readjusting the unstable regions. In this paper, a new algorithm to detect and quickly readjust unstable regions at the boundaries of moving objects is presented in a more general and compact manner. In addition, a new context-based anisotropic diffusion filter, which is significant in processing intermediate data, is discussed in detail. Our approach has demonstrated more accurate results than previous approaches. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TCSVT.2010.2041818 | IEEE Trans. Circuits Syst. Video Techn. |
Keywords | Field | DocType |
context-based anisotropic diffusion filter,unstable region,readjusting unstable regions,optical flow problem,accurate optical flow estimation,readjust unstable region,image sequences,new context-based anisotropic,important problem,filtering theory,optical flow,accurate result,new algorithm,high accuracy optical flow,optical flow estimation,unstable regions readjustment,optical filters,computer vision,motion estimation,geometrical optics,application software,tracking,anisotropic diffusion,power method,motion control | Signal processing,Computer vision,Motion control,Computer science,Optical filter,Artificial intelligence,Geometrical optics,Computer Applications,Motion estimation,Application software,Optical flow | Journal |
Volume | Issue | ISSN |
20 | 4 | 1051-8215 |
Citations | PageRank | References |
2 | 0.37 | 20 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Synh Viet Uyen Ha | 1 | 18 | 3.76 |
| Jae Wook Jeon | 2 | 565 | 77.35 |