loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

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

ISBN: 978-989-8565-48-8

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.238.194.166

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Lepoittevin, Y.; Lepoittevin, Y.; Béréziat, D.; Béréziat, D.; Herlin, I. and Mercier, N. (2013). Continuous Tracking of Structures from an Image Sequence.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 386-389. DOI: 10.5220/0004278503860389

@conference{visapp13,
author={Yann Lepoittevin. and Yann Lepoittevin. and Dominique Béréziat. and Dominique Béréziat. and Isabelle Herlin. and Nicolas Mercier.},
title={Continuous Tracking of Structures from an Image Sequence},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={386-389},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004278503860389},
isbn={978-989-8565-48-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Continuous Tracking of Structures from an Image Sequence
SN - 978-989-8565-48-8
AU - Lepoittevin, Y.
AU - Lepoittevin, Y.
AU - Béréziat, D.
AU - Béréziat, D.
AU - Herlin, I.
AU - Mercier, N.
PY - 2013
SP - 386
EP - 389
DO - 10.5220/0004278503860389

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.