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

1 Citation (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
JournalIEEJ Transactions on Electronics, Information and Systems
Volume128
Issue number7
Publication statusPublished - 2008
Externally publishedYes

Fingerprint

Image recognition
Chemical analysis
Image reconstruction
Cameras
Optical resolving power
Image resolution
Signal processing

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Low-resolution vehicle image recognition technology by frame-composition of moving images. / Kanzawa, Yusuke; Kobayashi, Hiroki; Ohkawa, Takenao; Ito, Toshio.

In: IEEJ Transactions on Electronics, Information and Systems, Vol. 128, No. 7, 2008.

Research output: Contribution to journalArticle

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