Proposal of low-resolution vehicle image recognition method

Yusuke Kanzawa, Takenao Ohkawa, Toshio Ito

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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 recently. Especially, many researchers have proposed the forward vehicle recognition method 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 a vehicle image recognition method for detecting features of a distant vehicle by frame-merging of image sequences. To detect vehicle features of a distant LR vehicle image, we use the image sequences obtained from the camera on the vehicle, and utilize super-resolution (SR) image reconstruction. In SR image reconstruction, signal processing methods are utilized to obtain a high-resolution image from observed multiple LR images. Through the experiments using real road images, we show the effectiveness of the proposed methods.

本文言語English
ホスト出版物のタイトル2008 IEEE Intelligent Vehicles Symposium, IV
ページ43-48
ページ数6
DOI
出版ステータスPublished - 2008
外部発表はい
イベント2008 IEEE Intelligent Vehicles Symposium, IV - Eindhoven, Netherlands
継続期間: 2008 6 42008 6 6

出版物シリーズ

名前IEEE Intelligent Vehicles Symposium, Proceedings

Other

Other2008 IEEE Intelligent Vehicles Symposium, IV
国/地域Netherlands
CityEindhoven
Period08/6/408/6/6

ASJC Scopus subject areas

  • モデリングとシミュレーション
  • 自動車工学
  • コンピュータ サイエンスの応用

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