Distant vehicle recognition method using frame-merging based on multi resolution analysis

Toshio Ito, Yusuke Kanzawa, Takenao Ohkawa

Research output: Contribution to conferencePaper

Abstract

Many researchers have proposed methods of recognizing front vehicles by onboard cameras. However, with these recognition methods, it is difficult to detect features of a distant vehicle from an image by conventional methods because the image is too low-resolution (LR). This paper presents a vehicle image recognition method for detecting features of a distant vehicle by frame-merging based on multi resolution analysis (MRA). To detect vehicle features in an LR image, image sequences obtained from the camera are used, and super-resolution image reconstruction and MRA are applied. The effectiveness of the proposed method is shown through experiments in real road images.

Original languageEnglish
Publication statusPublished - 2009
Event16th World Congress on Intelligent Transport Systems and Services, ITS 2009 - Stockholm, Sweden
Duration: 2009 Sep 212009 Sep 25

Other

Other16th World Congress on Intelligent Transport Systems and Services, ITS 2009
CountrySweden
CityStockholm
Period09/9/2109/9/25

Keywords

  • MRA
  • Onboard camera
  • Super-resolution
  • Vehicle recognition

ASJC Scopus subject areas

  • Mechanical Engineering
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Transportation
  • Automotive Engineering
  • Control and Systems Engineering

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  • Cite this

    Ito, T., Kanzawa, Y., & Ohkawa, T. (2009). Distant vehicle recognition method using frame-merging based on multi resolution analysis. Paper presented at 16th World Congress on Intelligent Transport Systems and Services, ITS 2009, Stockholm, Sweden.