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

Toshio Ito, Yusuke Kanzawa, Takenao Ohkawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Title of host publication16th ITS World Congress
PublisherIntelligent Transport Systems (ITS)
Publication statusPublished - 2009
Externally publishedYes
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

Fingerprint

Multiresolution analysis
Merging
Cameras
Image recognition
Image resolution
Image reconstruction
reconstruction
road
experiment
Experiments

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

Cite this

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

Distant vehicle recognition method using frame-merging based on multi resolution analysis. / Ito, Toshio; Kanzawa, Yusuke; Ohkawa, Takenao.

16th ITS World Congress. Intelligent Transport Systems (ITS), 2009.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ito, T, Kanzawa, Y & Ohkawa, T 2009, Distant vehicle recognition method using frame-merging based on multi resolution analysis. in 16th ITS World Congress. Intelligent Transport Systems (ITS), 16th World Congress on Intelligent Transport Systems and Services, ITS 2009, Stockholm, Sweden, 09/9/21.
Ito T, Kanzawa Y, Ohkawa T. Distant vehicle recognition method using frame-merging based on multi resolution analysis. In 16th ITS World Congress. Intelligent Transport Systems (ITS). 2009
Ito, Toshio ; Kanzawa, Yusuke ; Ohkawa, Takenao. / Distant vehicle recognition method using frame-merging based on multi resolution analysis. 16th ITS World Congress. Intelligent Transport Systems (ITS), 2009.
@inproceedings{01c48f1060984a7bab9ebe7def0538b5,
title = "Distant vehicle recognition method using frame-merging based on multi resolution analysis",
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.",
keywords = "MRA, Onboard camera, Super-resolution, Vehicle recognition",
author = "Toshio Ito and Yusuke Kanzawa and Takenao Ohkawa",
year = "2009",
language = "English",
booktitle = "16th ITS World Congress",
publisher = "Intelligent Transport Systems (ITS)",

}

TY - GEN

T1 - Distant vehicle recognition method using frame-merging based on multi resolution analysis

AU - Ito, Toshio

AU - Kanzawa, Yusuke

AU - Ohkawa, Takenao

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - MRA

KW - Onboard camera

KW - Super-resolution

KW - Vehicle recognition

UR - http://www.scopus.com/inward/record.url?scp=84954515822&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84954515822&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84954515822

BT - 16th ITS World Congress

PB - Intelligent Transport Systems (ITS)

ER -