Skip to Main content Skip to Navigation
Conference papers

Robust real-time visual tracking using a 2D-3D model-based approach

E. Marchand 1 Patrick Bouthemy 1 François Chaumette 1 V. Moreau 2
1 VISTA - Vision spatio-temporelle et active
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We present an original method for tracking, in an image sequence, complex objects which can be approximately modeled by a polyhedral shape. The approach relies on the estimation of the 2D object image motion along with the computation of the 3D object pose. The proposed method fulfills real-time constraints along with reliability and robustness requirements. Real tracking experiments and results concerning a visual servoing positioning task are presented.
keyword : tracking
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/inria-00352549
Contributor : Eric Marchand Connect in order to contact the contributor
Submitted on : Tuesday, January 13, 2009 - 12:21:13 PM
Last modification on : Wednesday, June 16, 2021 - 3:41:43 AM
Long-term archiving on: : Tuesday, June 8, 2010 - 7:51:02 PM

File

1999_iccv_marchand.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : inria-00352549, version 1

Citation

E. Marchand, Patrick Bouthemy, François Chaumette, V. Moreau. Robust real-time visual tracking using a 2D-3D model-based approach. IEEE Int. Conf. on Computer Vision, ICCV'99, 1999, Kerkira, Greece, Greece. pp.262-268. ⟨inria-00352549⟩

Share

Metrics

Record views

691

Files downloads

882