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
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;
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
DOI :
10.1109/KES.1997.616879
