Object's tracking by advection of a distance map
| Autor: | Dominique Béréziat, Isabelle Herlin, Yann Lepoittevin |
|---|---|
| Přispěvatelé: | Coupling environmental data and simulation models for software integration (Clime), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre d'Enseignement et de Recherche en Environnement Atmosphérique (CEREA), École des Ponts ParisTech (ENPC)-EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF), Performance et Qualité des Algorithmes Numériques (PEQUAN), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Brightness
Pixel business.industry Computer science Distance Map Optical flow Boundary (topology) 010103 numerical & computational mathematics 02 engineering and technology Object (computer science) 01 natural sciences Object's Tracking Data Assimilation [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation 020204 information systems Motion estimation Video tracking 0202 electrical engineering electronic engineering information engineering Advection Computer vision Artificial intelligence 0101 mathematics business Distance transform Motion Estimation |
| Zdroj: | ICIP-IEEE International Conference on Image Processing ICIP-IEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. pp.3612-3616, ⟨10.1109/ICIP.2013.6738745⟩ ICIP |
| Popis: | International audience; This paper has two coupled objectives: estimating motion and tracking a given object on an image sequence. It relies on a data assimilation approach, that solves evolution equations of motion, those of image brightness, and those of the distance map modeling the object's boundary. The two last express the optical flow constraint, which assumes that image brightness and distance map are advected by velocity. The method assimilates contour points by an innovative approach combining two criteria. First, the boundary of the object should match contour points at acquisition dates; second, the control of the distance between each pixel and the object's boundary allows to better motion estimation on the whole domain. The method is tested on synthetic data and satellite acquisitions. |
| Databáze: | OpenAIRE |
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