Sciweavers

Share
PAMI
2012

Simultaneous Video Stabilization and Moving Object Detection in Turbulence

7 years 7 months ago
Simultaneous Video Stabilization and Moving Object Detection in Turbulence
Turbulence mitigation refers to the stabilization of videos with non-uniform deformations due to the influence of optical turbulence. Typical approaches for turbulence mitigation follow averaging or de-warping techniques. Although these methods can reduce the turbulence, they distort the independently moving objects which can often be of great interest. In this paper, we address the novel problem of simultaneous turbulence mitigation and moving object detection. We propose a novel threeterm low-rank matrix decomposition approach in which we decompose the turbulence sequence into three components: the background, the turbulence, and the object. We simplify this extremely difficult problem into a minimization of nuclear norm, Frobenius norm, and `1 norm. Our method is based on two observations: First, the turbulence causes dense and Gaussian noise, and therefore can be captured by Frobenius norm, while the moving objects are sparse and thus can be captured by `1 norm. Second, since th...
Omar Oreifej, Xin Li, and Mubarak Shah
Added 24 Aug 2012
Updated 24 Aug 2012
Type Journal
Year 2012
Where PAMI
Authors Omar Oreifej, Xin Li, and Mubarak Shah
Comments (0)
books