DocumentCode
315420
Title
Fuzzy hierarchical car-model pattern recognition system using fixation feedback
Author
Arai, Yoshinori ; Sekiguchi, Goro ; Hirota, Kaoru
Author_Institution
Tokyo Inst. of Polytech., Kanagawa, Japan
Volume
1
fYear
1997
fDate
27-23 May 1997
Firstpage
154
Abstract
The “fuzzy hierarchical pattern recognition using fixation feedback” method is proposed and it is applied to recognize kinds, i.e., groups of trade names, of cars. In the experiments, image data of fourteen kinds of minicars taken from several directions are used. By comparing the results of the “non fixation feedback” method, it has been confirmed that the proposed method could increase efficiency without decreasing accuracy rates of recognition
Keywords
automobiles; fuzzy logic; inference mechanisms; pattern recognition; uncertainty handling; accuracy rates; car-model pattern recognition; efficiency; fixation feedback; fuzzy hierarchical pattern recognition; fuzzy inference; image data; minicars; Australia; Feedback; Fuzzy systems; Humans; Image processing; Image recognition; Intelligent systems; Manufacturing; Organizing; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-3755-7
Type
conf
DOI
10.1109/KES.1997.616879
Filename
616879
Link To Document