Title :
Visual pattern based object recognition system
Author :
ZHANG, Weijing ; Ralescu, Anca
Author_Institution :
Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan
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;
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
DOI :
10.1109/FUZZY.1995.410022
