Sciweavers

Share
CVPR
2010
IEEE

Modeling and Estimating Persistent Motion with Geometric Flows

10 years 28 days ago
Modeling and Estimating Persistent Motion with Geometric Flows
We propose a principled framework to model persistent motion in dynamic scenes. In contrast to previous efforts on object tracking and optical flow estimation that focus on local motion, we primarily aim at inferring a global model of persistent and collective dynamics. With this in mind, we first introduce the concept of geometric flow that describes motion simultaneously over space and time, and derive a vector space representation based on Lie algebra. We then extend it to model complex motion by combining multiple flows in a geometrically consistent manner. Taking advantage of the linear nature of this representation, we formulate a stochastic flow model, and incorporate a Gaussian process to capture the spatial coherence more effectively. This model leads to an efficient and robust algorithm that can integrate both point pairs and frame differences in motion estimation. We conducted experiments on different types of videos. The results clearly demonstrate that the proposed ...
Dahua Lin, Eric Grimson, John Fisher
Added 10 May 2010
Updated 14 May 2010
Type Conference
Year 2010
Where CVPR
Authors Dahua Lin, Eric Grimson, John Fisher
Comments (0)
books