DocumentCode :
293454
Title :
Visual pattern based approach to object recognition
Author :
ZHANG, Weijing ; Ralescu, Anca
Author_Institution :
Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan
Volume :
3
fYear :
1995
fDate :
20-24 Mar 1995
Firstpage :
1279
Abstract :
We investigate a knowledge model for our previously proposed approach to object recognition based on low level pattern features. 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; inference mechanisms; knowledge based systems; object recognition; fuzzy logic; knowledge model; object recognition; occluded objects; pattern detectors; Detectors; Fuzzy logic; Humans; Image edge detection; Image segmentation; Layout; Object detection; Object recognition; Pattern matching; Telephony;
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.1995.409840
Filename :
409840
Link To Document :
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