Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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A Real-time Vehicle Localization Algorithm for Autonomous Parking System

자율 주차 시스템을 위한 실시간 차량 추출 알고리즘

  • Hahn, Jong-Woo (Korea University of Technology and Education, School of Computer Science and Engineering) ;
  • Choi, Young-Kyu (Korea University of Technology and Education, School of Computer Science and Engineering)
  • 한종우 (한국기술교육대학교 컴퓨터공학부) ;
  • 최영규 (한국기술교육대학교 컴퓨터공학부)
  • Received : 2011.05.04
  • Accepted : 2011.05.31
  • Published : 2011.06.30
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Abstract

This paper introduces a video based traffic monitoring system for detecting vehicles and obstacles on the road. To segment moving objects from image sequence, we adopt the background subtraction algorithm based on the local binary patterns (LBP). Recently, LBP based texture analysis techniques are becoming popular tools for various machine vision applications such as face recognition, object classification and so on. In this paper, we adopt an extension of LBP, called the Diagonal LBP (DLBP), to handle the background subtraction problem arise in vision-based autonomous parking systems. It reduces the code length of LBP by half and improves the computation complexity drastically. An edge based shadow removal and blob merging procedure are also applied to the foreground blobs, and a pose estimation technique is utilized for calculating the position and heading angle of the moving object precisely. Experimental results revealed that our system works well for real-time vehicle localization and tracking applications.

Keywords

References

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