Fuzzy hierarchical car-model pattern recognition system using fixation feedback

Y. Arai, G. Sekiguchi, K. Hirota
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引用次数: 1

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.
基于注视反馈的模糊层次车模模式识别系统
提出了一种基于注视反馈的模糊层次模式识别方法,并将其应用于汽车品类(即商号组)的识别。实验中使用了14种微型车从不同方向采集的图像数据。通过对比“非注视反馈”方法的结果,证实了该方法在不降低识别正确率的前提下提高了识别效率。
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