Visual pattern based object recognition system

Author

ZHANG, Weijing ; Ralescu, Anca

Author_Institution

Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan

Volume

5

fYear

1995

fDate

20-24 Mar 1995

Firstpage

19

Abstract

We investigate a knowledge model for our previously proposed approach to object recognition based on low level pattern features (W. Zhang and A. Ralescu, 1994). This knowledge includes rules which can deal with situations in which an object may be occluded. The approach is based on fuzzy logic techniques, appropriate when approximate recognition results are adequate. The concept of pattern detectors is also discussed. The approach is illustrated by examples of results for images of office scenes

Keywords

fuzzy logic; knowledge based systems; object recognition; office automation; approximate recognition results; fuzzy logic techniques; knowledge model; low level pattern features; office scenes; pattern detectors; visual pattern based object recognition system; Detectors; Fuzzy logic; Fuzzy sets; Image processing; Image recognition; Laboratories; Layout; Object detection; Object recognition; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int

Conference_Location

Yokohama

Print_ISBN

0-7803-2461-7

Type

conf

DOI

10.1109/FUZZY.1995.410022

Filename

410022