Low-resolution vehicle image recognition technology by frame-composition of moving images

Yusuke Kanzawa, Hiroki Kobayashi, Takenao Ohkawa, Toshio Ito

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Developing on-board automotive driver assistance systems aiming to alert drivers about driving environments, and possible collision with other vehicles has attracted a lot of attention lately. Especially, many researchers have suggested the forward vehicle recognition technology by a camera on vehicle. In the forward vehicle recognition, however, it is difficult to detect the features of vehicle from a distant vehicle image by conventional methods because the image is too low-resolution (LR). This paper presents vehicle image recognition technology for detecting of the features of a distant vehicle by frame-composition of moving images. To detect the vehicle features of a distant LR vehicle image, we use the moving images obtained from the camera on the vehicle, and utilize super-resolution (SR) image reconstruction. SR image reconstruction is to use signal processing techniques to obtain a high-resolution (or sequence) image from observed multiple LR images. Use of this technique on real road image, we show the effectiveness of the proposed techniques.

Original languageEnglish
Pages (from-to)12+1096-1101
JournalIEEJ Transactions on Electronics, Information and Systems
Volume128
Issue number7
Publication statusPublished - 2008

Keywords

  • Computer vision
  • Frame-composition
  • Super-resolution
  • Vehicle recognition

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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