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논문검색

Two-wheeler Detection Algorithm Research based on Volumetric Local Binary Pattern using Projection Vector Features

초록

영어

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

목차

Abstract
 1. Introduction
 2. Feature Extraction
  A. General Projection Vector Feature
  B. Local Binary Pattern
  C. Volumetric Local Binary Pattern
 3. Classification
 4. Experimental Results
 5. Conclusion
 References

저자정보

  • Yeunghak Lee Dept. of Avionic Elect. Eng., Kyungwoon University, Gumi, S. Korea
  • Teasun Kim Dept. of Avionic Elect. Eng., Kyungwoon University, Gumi, S. Korea
  • Jaechang Shim Dept of Computer Eng, Andong National University, Andong, S. Korea

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