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http://dx.doi.org/10.9717/kmms.2015.18.4.443

Two-wheelers Detection using Uniform Local Binary Pattern for Projection Vectors  

Lee, Yeunghak (Dept. of Avionics Electronic Engineering, KyungWoon University)
Publication Information
Journal of Korea Multimedia Society / v.18, no.4, 2015 , pp. 443-451 More about this Journal
Abstract
In this paper we suggest a new two-wheelers detection algorithm using uniform local binary pattern weighting value for projection vectors. The first, we calculate feature vectors using projection method which has robustness for rotation invariant and reducing dimensionality for each cell from origin image. The second, we applied new weighting values which are calculated by the modified local binary pattern showing the fast compute and simple to implement. This paper applied the Adaboost algorithm to make a strong classification from weak classification. In this experiment, we can get the result that the detection rate of the proposed method is higher than that of the traditional method.
Keywords
Local Binalry Pattern; Projection Vector; Adaboost;
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