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A Real-time Vehicle Localization Algorithm for Autonomous Parking System  

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)
Publication Information
Journal of the Semiconductor & Display Technology / v.10, no.2, 2011 , pp. 31-38 More about this Journal
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
background subtraction; local binary pattern; texture analysis; vehicle localization; autonomous parking system;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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