3D articulated models and multi-view tracking with silhouettes

Author

Delamarre, Quentin ; Faugeras, Olivier

Author_Institution

Inst. Nat. de Recherche en Inf. et Autom., Sophia-Antipolis, France

Volume

2

fYear

1999

fDate

1999

Firstpage

716

Abstract

We propose a method to estimate the motion of a person filmed by two or more fixed cameras. The novelty of our technique is its ability to cope with fast movements, self-occlusions and noisy images. Our algorithms are based on the latest works on calibration and image segmentation developed in our lab. We compare the projections of a 3D model of a person on the images to the detected silhouettes of the person, and by creating forces that will move the 3D model towards the final estimation of the real pose. We developed a fast algorithm that computes the motion of the articulated 3D model. We show that our results are good, even if the cameras are not synchronized

Keywords

calibration; cameras; image segmentation; image sequences; motion estimation; 3D articulated models; 3D model; calibration; fast movements; fixed cameras; image segmentation; image sequence; motion estimation; multi-view tracking; noisy images; pose estimation; self-occlusions; silhouettes; Application software; Cameras; Computer vision; Humans; Image segmentation; Legged locomotion; Man machine systems; Motion estimation; Personnel; Robot vision systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on

Conference_Location

Kerkyra

Print_ISBN

0-7695-0164-8

Type

conf

DOI

10.1109/ICCV.1999.790292

Filename

790292