Ego-motion estimation using optical flow fields observed from multiple cameras

Author

Tsao, An-Ting ; Hung, Yi-Ping ; Fuh, Chiou-Shann ; Chen, Yong-Sheng

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan

fYear

1997

fDate

17-19 Jun 1997

Firstpage

457

Lastpage

462

Abstract

In this paper, we consider a multi-camera vision system mounted on a moving object in a static three-dimensional environment. By using the motion flow fields seen by all of the cameras, an algorithm which does not need to solve the point-correspondence problem among the cameras is proposed to estimate the 3D ego-motion parameters of the moving object. Our experiments have shown that using multiple optical flow fields obtained from different cameras can be very helpful for ego-motion estimation

Keywords

computer vision; image sequences; motion estimation; ego-motion estimation; motion flow fields; moving object; multi-camera vision system; multiple cameras; multiple optical flow fields; optical flow fields; point-correspondence problem; static three-dimensional environment; Cameras; Computer science; Image motion analysis; Information science; Machine vision; Motion estimation; Nonlinear optics; Robot vision systems; Vectors; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on

Conference_Location

San Juan

ISSN

1063-6919

Print_ISBN

0-8186-7822-4

Type

conf

DOI

10.1109/CVPR.1997.609365

Filename

609365