Authors:
Yann Lepoittevin
1
;
Dominique Béréziat
2
;
Isabelle Herlin
1
and
Nicolas Mercier
1
Affiliations:
1
INRIA and Université Paris-Est, France
;
2
Université Pierre et Marie Curie, France
Keyword(s):
Tracking, Motion, Data Assimilation, Satellite image, Meteorology.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Motion, Tracking and Stereo Vision
;
Optical Flow and Motion Analyses
;
Tracking and Visual Navigation
Abstract:
The paper describes an innovative approach to estimate velocity on an image sequence and simultaneously
segment and track a given structure. It relies on the underlying dynamics’ equations of the studied physical
system. A data assimilation method is applied to solve evolution equations of image brightness, those of
motion’s dynamics, and those of distance map modelling the tracked structures. Results are first quantified
on synthetic data with comparison to ground-truth. Then, the method is applied on meteorological satellite
acquisitions of a tropical cloud, in order to track this structure on the sequence. The outputs of the approach
are the continuous estimation of both motion and structure’s boundary. The main advantage is that the method
only relies on image data and on a rough segmentation of the structure at initial date.