文章基本信息

标题：Two-wheeler Detection Algorithm Research based on Volumetric Local Binary Pattern using Projection Vector Features
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作者：Yeunghak Lee ; Teasun Kim ; Jaechang Shim 等
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2016
卷号：10
期号：5
页码：143-156
DOI：10.14257/ijseia.2016.10.5.13
出版社：SERSC
摘要：In this paper, the researchers propose a two-wheeler detection system based on volumetric local binary pattern (VLBP) using projection vector method for vision based intelligent vehicles. A projection method has robustness for rotation invariant and reducing dimensionality for original image. The features of LBP are fast to compute and simple to implement for object recognition and texture classification area. Moreover, the researchers use uniform pattern to remove the noise. This paper suggests that modified LBP method and projection vector having different weighting values according to the local shape and the area in the image. Also the researchers system maintains the simplicity of evaluation of traditional formulation while being more discriminative. The researchers experimental results show that the detection system of a bicycle and motorcycle based on the proposed VLBP features achieve higher detection accuracy rate than the traditional features
关键词：projection vector;LBP;two-wheeler;adaboost