Non-linear estimation of image motion and tracking

Author

Lanvin, Patrick ; Noyer, Jean-Charles ; Benjelloun, Mohammed

Author_Institution

Lab. d´´Analyse des Syst. du Littoral, Univ. du Littoral Cote d´´Opale, Calais Cedex, France

Volume

2

fYear

2003

fDate

6-9 July 2003

Abstract

This paper details a model-based method to track object in an image sequence and jointly estimates its motion. It uses the grey-level images and no preprocessing, as feature extraction for example, is done on the sequence. The main benefits of this method which avoids this extraction stage is to allow a better localization of the shape. This estimation problem is modelled by state equations which describe the evolution of the object in the sequence and the related measurements and is solved by a non-linear filtering method: the particle filtering.

Keywords

feature extraction; image motion analysis; image sequences; nonlinear estimation; nonlinear filters; feature extraction; grey-level images; image motion; image sequence; model-based method; nonlinear estimation problem; nonlinear filtering method; object tracking; particle filtering; shape localization; state equations; Filtering; Image analysis; Image motion analysis; Image sequences; Motion analysis; Motion estimation; Nonlinear equations; Shape; State estimation; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on

Print_ISBN

0-7803-7965-9

Type

conf

DOI

10.1109/ICME.2003.1221733

Filename

1221733