Fuzzy belief and scene interpretation

Author

Dance, Sandy ; Liu, Zhi-Qiang

Author_Institution

Dept. of Comput. Sci., Melbourne Univ., Parkville, Vic., Australia

fYear

1995

fDate

21-23 Nov 1995

Firstpage

575

Lastpage

580

Abstract

We present an image interpretation system using fuzzy belief measures. This system is based on a symbolic object-oriented image interpretation system (SOO-PIN) we developed previously. In many image analysis and understanding applications, objects can only be described vaguely. Using fuzzy belief measures and linguistic hedges we are able to manage uncertainty properly. Furthermore, this enables us to develop an image understanding system that produces a natural linguistic presentation and provides a user-friendly environment. We demonstrate the effectiveness of our system with a complex traffic scene

Keywords

automobiles; belief maintenance; computer vision; fuzzy systems; image segmentation; message passing; road traffic; traffic engineering computing; uncertainty handling; complex traffic scene; fuzzy belief measures; image analysis; image understanding; linguistic hedges; natural linguistic presentation; object description; scene interpretation; symbolic object-oriented image interpretation system; uncertainty management; user-friendly environment; Application software; Bayesian methods; Computer science; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Image analysis; Layout; Measurement uncertainty; Message passing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, 1995. Proceedings., International Symposium on

Conference_Location

Coral Gables, FL

Print_ISBN

0-8186-7190-4

Type

conf

DOI

10.1109/ISCV.1995.477063

Filename

477063