Earticle

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

키워드

저자

• 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 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605