Car Type/Name Recognition System Based on The Concept of Fixation

Yoshinori Arai; Kaoru Hirota

doi:10.20965/jaciii.1999.p0274

Car Type/Name Recognition System Based on The Concept of Fixation

Yoshinori Arai^*
, Kaoru Hirota

^*此作品的通讯作者

Tokyo Polytechnic University
Tokyo Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

The concept of the "Fixation", meaning to monitor features for identifying transport vehicles is proposed. And a framework of the "Fuzzy Hierarchical Pattern Recognition using a Fixation Feedback (FHPR/FF)" algorithm is introduced. The experiment system, for identifying car types and car names where 70 images are taken for 14 miniature cars from 5 directions, is constructed. Forced recognition of 92.9% is achieved for car types and 89.7% for car names. The proposed experiment system is the basis for real running vehicle identification confirmed by perfect identification of 5 images for each model.

源语言	英语
页（从-至）	274-281
页数	8
期刊	Journal of Advanced Computational Intelligence and Intelligent Informatics
卷	3
期	4
DOI	https://doi.org/10.20965/jaciii.1999.p0274
出版状态	已出版 - 8月 1999
已对外发布	是

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title = "Car Type/Name Recognition System Based on The Concept of Fixation",

abstract = "The concept of the {"}Fixation{"}, meaning to monitor features for identifying transport vehicles is proposed. And a framework of the {"}Fuzzy Hierarchical Pattern Recognition using a Fixation Feedback (FHPR/FF){"} algorithm is introduced. The experiment system, for identifying car types and car names where 70 images are taken for 14 miniature cars from 5 directions, is constructed. Forced recognition of 92.9\% is achieved for car types and 89.7\% for car names. The proposed experiment system is the basis for real running vehicle identification confirmed by perfect identification of 5 images for each model.",

keywords = "Car-Name identification, Fuzzy inference, Pattern recognition",

author = "Yoshinori Arai and Kaoru Hirota",

year = "1999",

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AU - Hirota, Kaoru

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AB - The concept of the "Fixation", meaning to monitor features for identifying transport vehicles is proposed. And a framework of the "Fuzzy Hierarchical Pattern Recognition using a Fixation Feedback (FHPR/FF)" algorithm is introduced. The experiment system, for identifying car types and car names where 70 images are taken for 14 miniature cars from 5 directions, is constructed. Forced recognition of 92.9% is achieved for car types and 89.7% for car names. The proposed experiment system is the basis for real running vehicle identification confirmed by perfect identification of 5 images for each model.

KW - Car-Name identification

KW - Fuzzy inference

KW - Pattern recognition

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IS - 4

ER -

Car Type/Name Recognition System Based on The Concept of Fixation

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