Video composition by spatiotemporal object segmentation, 3D-structure and tracking

Author

Izquierdo, Ebroul ; Ghanbari, Mohammed

Author_Institution

Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK

fYear

1999

fDate

1999

Firstpage

194

Lastpage

199

Abstract

A stereo vision based system for composition of natural and computer generated images is presented. The system focuses on the solution of four essential tasks in computer vision: disparity estimation, object segmentation, modeling and tracking. These tasks are performed in direct interaction with each other using novel and available multiview analysis techniques and standard computer graphics algorithms. The system is assessed by processing natural video sequences. Selected results are reported

Keywords

computer animation; computer vision; image segmentation; image sequences; stereo image processing; video signal processing; virtual reality; 3D-structure; computer generated images; computer graphics algorithms; computer vision; disparity estimation; multiview analysis techniques; natural images; natural video sequences; object segmentation; spatiotemporal object segmentation; stereo vision based system; tracking; video composition; virtual reality; Application software; Computer vision; Electrical capacitance tomography; Image segmentation; Layout; Object segmentation; Spatiotemporal phenomena; Stereo vision; Systems engineering and theory; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Visualization, 1999. Proceedings. 1999 IEEE International Conference on

Conference_Location

London

ISSN

1093-9547

Print_ISBN

0-7695-0210-5

Type

conf

DOI

10.1109/IV.1999.781558

Filename

781558